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Metman MJH, Jonker PKC, Sondorp LHJ, van Hemel BM, Sywak MS, Gill AJ, Jansen L, van Diest PJ, van Ginhoven TM, Löwik CWGM, Nguyen AH, Robinson DJ, van Dam GM, Links TP, Coppes RP, Fehrmann RSN, Kruijff S. MET-receptor targeted fluorescent imaging and spectroscopy to detect multifocal papillary thyroid cancer. Eur J Nucl Med Mol Imaging 2024; 51:2384-2394. [PMID: 38017325 PMCID: PMC11178647 DOI: 10.1007/s00259-023-06525-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
Abstract
PURPOSE Multifocal disease in PTC is associated with an increased recurrence rate. Multifocal disease (MD) is underdiagnosed with the current gold standard of pre-operative ultrasound staging. Here, we evaluate the use of EMI-137 targeted molecular fluorescence-guided imaging (MFGI) and spectroscopy as a tool for the intra-operative detection of uni- and multifocal papillary thyroid cancer (PTC) aiming to improve disease staging and treatment selection. METHODS A phase-1 study (NCT03470259) with EMI-137 was conducted to evaluate the possibility of detecting PTC using MFGI and quantitative fiber-optic spectroscopy. RESULTS Fourteen patients underwent hemi- or total thyroidectomy (TTX) after administration of 0.09 mg/kg (n = 1), 0.13 mg/kg (n = 8), or 0.18 mg/kg (n = 5) EMI-137. Both MFGI and spectroscopy could differentiate PTC from healthy thyroid tissue after administration of EMI-137, which binds selectively to MET in PTC. 0.13 mg/kg was the lowest dosage EMI-137 that allowed for differentiation between PTC and healthy thyroid tissue. The smallest PTC focus detected by MFGI was 1.4 mm. MFGI restaged 80% of patients from unifocal to multifocal PTC compared to ultrasound. CONCLUSION EMI-137-guided MFGI and spectroscopy can be used to detect multifocal PTC. This may improve disease staging and treatment selection between hemi- and total thyroidectomy by better differentiation between unifocal and multifocal disease. TRIAL REGISTRATION NCT03470259.
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Affiliation(s)
- Madelon J H Metman
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands
| | - Pascal K C Jonker
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands
- Department of Endocrine Surgery and Surgical Oncology, Royal North Shore Hospital, St Leonards, Australia
| | - Luc H J Sondorp
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands
- Department of Biomedical Sciences of Cell & Systems - Section Molecular Cell Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bettien M van Hemel
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mark S Sywak
- Department of Endocrine Surgery and Surgical Oncology, Royal North Shore Hospital, St Leonards, Australia
| | - Anthony J Gill
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St Leonards, Australia
- Sydney Medical School, University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Australia
| | - Liesbeth Jansen
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore, USA
| | | | - Clemens W G M Löwik
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Anh H Nguyen
- Department of Pathology, Erasmus MC, Rotterdam, the Netherlands
| | - Dominic J Robinson
- Department of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Gooitzen M van Dam
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- AxelaRx/TRACER B.V, Groningen, the Netherlands
| | - Thera P Links
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Rob P Coppes
- Department of Biomedical Sciences of Cell & Systems - Section Molecular Cell Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Rudolf S N Fehrmann
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Schelto Kruijff
- Department of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands.
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
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Chen Z, Gezginer I, Zhou Q, Tang L, Deán-Ben XL, Razansky D. Multimodal optoacoustic imaging: methods and contrast materials. Chem Soc Rev 2024; 53:6068-6099. [PMID: 38738633 PMCID: PMC11181994 DOI: 10.1039/d3cs00565h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Indexed: 05/14/2024]
Abstract
Optoacoustic (OA) imaging offers powerful capabilities for interrogating biological tissues with rich optical absorption contrast while maintaining high spatial resolution for deep tissue observations. The spectrally distinct absorption of visible and near-infrared photons by endogenous tissue chromophores facilitates extraction of diverse anatomic, functional, molecular, and metabolic information from living tissues across various scales, from organelles and cells to whole organs and organisms. The primarily blood-related contrast and limited penetration depth of OA imaging have fostered the development of multimodal approaches to fully exploit the unique advantages and complementarity of the method. We review the recent hybridization efforts, including multimodal combinations of OA with ultrasound, fluorescence, optical coherence tomography, Raman scattering microscopy and magnetic resonance imaging as well as ionizing methods, such as X-ray computed tomography, single-photon-emission computed tomography and positron emission tomography. Considering that most molecules absorb light across a broad range of the electromagnetic spectrum, the OA interrogations can be extended to a large number of exogenously administered small molecules, particulate agents, and genetically encoded labels. This unique property further makes contrast moieties used in other imaging modalities amenable for OA sensing.
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Affiliation(s)
- Zhenyue Chen
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Irmak Gezginer
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Quanyu Zhou
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Lin Tang
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Xosé Luís Deán-Ben
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland.
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
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3
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Yu Y, Feng T, Qiu H, Gu Y, Chen Q, Zuo C, Ma H. Simultaneous photoacoustic and ultrasound imaging: A review. ULTRASONICS 2024; 139:107277. [PMID: 38460216 DOI: 10.1016/j.ultras.2024.107277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 01/09/2024] [Accepted: 02/26/2024] [Indexed: 03/11/2024]
Abstract
Photoacoustic imaging (PAI) is an emerging biomedical imaging technique that combines the advantages of optical and ultrasound imaging, enabling the generation of images with both optical resolution and acoustic penetration depth. By leveraging similar signal acquisition and processing methods, the integration of photoacoustic and ultrasound imaging has introduced a novel hybrid imaging modality suitable for clinical applications. Photoacoustic-ultrasound imaging allows for non-invasive, high-resolution, and deep-penetrating imaging, providing a wealth of image information. In recent years, with the deepening research and the expanding biomedical application scenarios of photoacoustic-ultrasound bimodal systems, the immense potential of photoacoustic-ultrasound bimodal imaging in basic research and clinical applications has been demonstrated, with some research achievements already commercialized. In this review, we introduce the principles, technical advantages, and biomedical applications of photoacoustic-ultrasound bimodal imaging techniques, specifically focusing on tomographic, microscopic, and endoscopic imaging modalities. Furthermore, we discuss the future directions of photoacoustic-ultrasound bimodal imaging technology.
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Affiliation(s)
- Yinshi Yu
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China
| | - Ting Feng
- Academy for Engineering & Technology, Fudan University, Shanghai 200433,China.
| | - Haixia Qiu
- First Medical Center of PLA General Hospital, Beijing, China
| | - Ying Gu
- First Medical Center of PLA General Hospital, Beijing, China
| | - Qian Chen
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China
| | - Chao Zuo
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China.
| | - Haigang Ma
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China.
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Fakhoury JW, Lara JB, Manwar R, Zafar M, Xu Q, Engel R, Tsoukas MM, Daveluy S, Mehregan D, Avanaki K. Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11518. [PMID: 38223680 PMCID: PMC10785699 DOI: 10.1117/1.jbo.29.s1.s11518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 01/16/2024]
Abstract
Significance Cutaneous melanoma (CM) has a high morbidity and mortality rate, but it can be cured if the primary lesion is detected and treated at an early stage. Imaging techniques such as photoacoustic (PA) imaging (PAI) have been studied and implemented to aid in the detection and diagnosis of CM. Aim Provide an overview of different PAI systems and applications for the study of CM, including the determination of tumor depth/thickness, cancer-related angiogenesis, metastases to lymph nodes, circulating tumor cells (CTCs), virtual histology, and studies using exogenous contrast agents. Approach A systematic review and classification of different PAI configurations was conducted based on their specific applications for melanoma detection. This review encompasses animal and preclinical studies, offering insights into the future potential of PAI in melanoma diagnosis in the clinic. Results PAI holds great clinical potential as a noninvasive technique for melanoma detection and disease management. PA microscopy has predominantly been used to image and study angiogenesis surrounding tumors and provide information on tumor characteristics. Additionally, PA tomography, with its increased penetration depth, has demonstrated its ability to assess melanoma thickness. Both modalities have shown promise in detecting metastases to lymph nodes and CTCs, and an all-optical implementation has been developed to perform virtual histology analyses. Animal and human studies have successfully shown the capability of PAI to detect, visualize, classify, and stage CM. Conclusions PAI is a promising technique for assessing the status of the skin without a surgical procedure. The capability of the modality to image microvasculature, visualize tumor boundaries, detect metastases in lymph nodes, perform fast and label-free histology, and identify CTCs could aid in the early diagnosis and classification of CM, including determination of metastatic status. In addition, it could be useful for monitoring treatment efficacy noninvasively.
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Affiliation(s)
- Joseph W. Fakhoury
- Wayne State University School of Medicine, Detroit, Michigan, United States
| | - Juliana Benavides Lara
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Rayyan Manwar
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Mohsin Zafar
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Qiuyun Xu
- Wayne State University, Department of Biomedical Engineering, Detroit, Michigan, United States
| | - Ricardo Engel
- Wayne State University School of Medicine, Detroit, Michigan, United States
| | - Maria M. Tsoukas
- University of Illinois at Chicago, Department of Dermatology, Chicago, Illinois, United States
| | - Steven Daveluy
- Wayne State University School of Medicine, Department of Dermatology, Detroit, Michigan, United States
| | - Darius Mehregan
- Wayne State University School of Medicine, Department of Dermatology, Detroit, Michigan, United States
| | - Kamran Avanaki
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
- University of Illinois at Chicago, Department of Dermatology, Chicago, Illinois, United States
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Sridharan B, Lim HG. Advances in photoacoustic imaging aided by nano contrast agents: special focus on role of lymphatic system imaging for cancer theranostics. J Nanobiotechnology 2023; 21:437. [PMID: 37986071 PMCID: PMC10662568 DOI: 10.1186/s12951-023-02192-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/03/2023] [Indexed: 11/22/2023] Open
Abstract
Photoacoustic imaging (PAI) is a successful clinical imaging platform for management of cancer and other health conditions that has seen significant progress in the past decade. However, clinical translation of PAI based methods are still under scrutiny as the imaging quality and clinical information derived from PA images are not on par with other imaging methods. Hence, to improve PAI, exogenous contrast agents, in the form of nanomaterials, are being used to achieve better image with less side effects, lower accumulation, and improved target specificity. Nanomedicine has become inevitable in cancer management, as it contributes at every stage from diagnosis to therapy, surgery, and even in the postoperative care and surveillance for recurrence. Nanocontrast agents for PAI have been developed and are being explored for early and improved cancer diagnosis. The systemic stability and target specificity of the nanomaterials to render its theranostic property depends on various influencing factors such as the administration route and physico-chemical responsiveness. The recent focus in PAI is on targeting the lymphatic system and nodes for cancer diagnosis, as they play a vital role in cancer progression and metastasis. This review aims to discuss the clinical advancements of PAI using nanoparticles as exogenous contrast agents for cancer theranostics with emphasis on PAI of lymphatic system for diagnosis, cancer progression, metastasis, PAI guided tumor resection, and finally PAI guided drug delivery.
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Affiliation(s)
- Badrinathan Sridharan
- Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea
| | - Hae Gyun Lim
- Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea.
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6
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Juhong A, Li B, Liu Y, Yao CY, Yang CW, Agnew DW, Lei YL, Luker GD, Bumpers H, Huang X, Piyawattanametha W, Qiu Z. Recurrent and convolutional neural networks for sequential multispectral optoacoustic tomography (MSOT) imaging. JOURNAL OF BIOPHOTONICS 2023; 16:e202300142. [PMID: 37382181 DOI: 10.1002/jbio.202300142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/14/2023] [Accepted: 06/23/2023] [Indexed: 06/30/2023]
Abstract
Multispectral optoacoustic tomography (MSOT) is a beneficial technique for diagnosing and analyzing biological samples since it provides meticulous details in anatomy and physiology. However, acquiring high through-plane resolution volumetric MSOT is time-consuming. Here, we propose a deep learning model based on hybrid recurrent and convolutional neural networks to generate sequential cross-sectional images for an MSOT system. This system provides three modalities (MSOT, ultrasound, and optoacoustic imaging of a specific exogenous contrast agent) in a single scan. This study used ICG-conjugated nanoworms particles (NWs-ICG) as the contrast agent. Instead of acquiring seven images with a step size of 0.1 mm, we can receive two images with a step size of 0.6 mm as input for the proposed deep learning model. The deep learning model can generate five other images with a step size of 0.1 mm between these two input images meaning we can reduce acquisition time by approximately 71%.
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Affiliation(s)
- Aniwat Juhong
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Bo Li
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Yifan Liu
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Cheng-You Yao
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan, USA
| | - Chia-Wei Yang
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA
| | - Dalen W Agnew
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Yu Leo Lei
- Department of Periodontics and Oral Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Gary D Luker
- Department of Radiology, Microbiology and Immunology, and Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Harvey Bumpers
- Department of Surgery, Michigan State University, East Lansing, Michigan, USA
| | - Xuefei Huang
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Chemistry, Michigan State University, East Lansing, Michigan, USA
| | - Wibool Piyawattanametha
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand
| | - Zhen Qiu
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, USA
- Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan, USA
- Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan, USA
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Lee C, Kim C, Park B. Review of Three-Dimensional Handheld Photoacoustic and Ultrasound Imaging Systems and Their Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:8149. [PMID: 37836978 PMCID: PMC10575128 DOI: 10.3390/s23198149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/25/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023]
Abstract
Photoacoustic (PA) imaging is a non-invasive biomedical imaging technique that combines the benefits of optics and acoustics to provide high-resolution structural and functional information. This review highlights the emergence of three-dimensional handheld PA imaging systems as a promising approach for various biomedical applications. These systems are classified into four techniques: direct imaging with 2D ultrasound (US) arrays, mechanical-scanning-based imaging with 1D US arrays, mirror-scanning-based imaging, and freehand-scanning-based imaging. A comprehensive overview of recent research in each imaging technique is provided, and potential solutions for system limitations are discussed. This review will serve as a valuable resource for researchers and practitioners interested in advancements and opportunities in three-dimensional handheld PA imaging technology.
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Affiliation(s)
- Changyeop Lee
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang 37673, Republic of Korea;
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang 37673, Republic of Korea;
| | - Byullee Park
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
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Noltes ME, Bader M, Metman MJH, Vonk J, Steinkamp PJ, Kukačka J, Westerlaan HE, Dierckx RAJO, van Hemel BM, Brouwers AH, van Dam GM, Jüstel D, Ntziachristos V, Kruijff S. Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography. Eur J Nucl Med Mol Imaging 2023; 50:2736-2750. [PMID: 37039901 PMCID: PMC10317911 DOI: 10.1007/s00259-023-06189-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/05/2023] [Indexed: 04/12/2023]
Abstract
PURPOSE Patient-tailored management of thyroid nodules requires improved risk of malignancy stratification by accurate preoperative nodule assessment, aiming to personalize decisions concerning diagnostics and treatment. Here, we perform an exploratory pilot study to identify possible patterns on multispectral optoacoustic tomography (MSOT) for thyroid malignancy stratification. For the first time, we directly correlate MSOT images with histopathology data on a detailed level. METHODS We use recently enhanced data processing and image reconstruction methods for MSOT to provide next-level image quality by means of improved spatial resolution and spectral contrast. We examine optoacoustic features in thyroid nodules associated with vascular patterns and correlate these directly with reference histopathology. RESULTS Our methods show the ability to resolve blood vessels with diameters of 250 μm at depths of up to 2 cm. The vessel diameters derived on MSOT showed an excellent correlation (R2-score of 0.9426) with the vessel diameters on histopathology. Subsequently, we identify features of malignancy observable in MSOT, such as intranodular microvascularity and extrathyroidal extension verified by histopathology. Despite these promising features in selected patients, we could not determine statistically relevant differences between benign and malignant thyroid nodules based on mean oxygen saturation in thyroid nodules. Thus, we illustrate general imaging artifacts of the whole field of optoacoustic imaging that reduce image fidelity and distort spectral contrast, which impedes quantification of chromophore presence based on mean concentrations. CONCLUSION We recommend examining optoacoustic features in addition to chromophore quantification to rank malignancy risk. We present optoacoustic images of thyroid nodules with the highest spatial resolution and spectral contrast to date, directly correlated to histopathology, pushing the clinical translation of MSOT.
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Affiliation(s)
- Milou E Noltes
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Maximilian Bader
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Madelon J H Metman
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jasper Vonk
- Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pieter J Steinkamp
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jan Kukačka
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Henriette E Westerlaan
- Department of Radiology, University Medical Center Groningen, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bettien M van Hemel
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Adrienne H Brouwers
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gooitzen M van Dam
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- AxelaRx/TRACER Europe BV, Groningen, the Netherlands
| | - Dominik Jüstel
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany
| | - Schelto Kruijff
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
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Lee H, Choi W, Kim C, Park B, Kim J. Review on ultrasound-guided photoacoustic imaging for complementary analyses of biological systems in vivo. Exp Biol Med (Maywood) 2023; 248:762-774. [PMID: 37452700 PMCID: PMC10468641 DOI: 10.1177/15353702231181341] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023] Open
Abstract
Photoacoustic imaging has been developed as a new biomedical molecular imaging modality. Due to its similarity to conventional ultrasound imaging in terms of signal detection and image generation, dual-modal photoacoustic and ultrasound imaging has been applied to visualize physiological and morphological information in biological systems in vivo. By complementing each other, dual-modal photoacoustic and ultrasound imaging showed synergistic advances in photoacoustic imaging with the guidance of ultrasound images. In this review, we introduce our recent progresses in dual-modal photoacoustic and ultrasound imaging systems at various scales of study, from preclinical small animals to clinical humans. A summary of the works reveals various strategies for combining the structural information of ultrasound images with the molecular information of photoacoustic images.
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Affiliation(s)
- Haeni Lee
- Department of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Wonseok Choi
- Department of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang 37673, Republic of Korea
| | - Byullee Park
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jeesu Kim
- Department of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea
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10
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Gu Y, Sun Y, Wang X, Li H, Qiu J, Lu W. Application of photoacoustic computed tomography in biomedical imaging: A literature review. Bioeng Transl Med 2023; 8:e10419. [PMID: 36925681 PMCID: PMC10013779 DOI: 10.1002/btm2.10419] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/11/2022] [Accepted: 09/18/2022] [Indexed: 11/06/2022] Open
Abstract
Photoacoustic computed tomography (PACT) is a hybrid imaging modality that combines optical excitation and acoustic detection techniques. It obtains high-resolution deep-tissue images based on the deep penetration of light, the anisotropy of light absorption in objects, and the photoacoustic effect. Hence, PACT shows great potential in biomedical sample imaging. Recently, due to its advantages of high sensitivity to optical absorption and wide scalability of spatial resolution with the desired imaging depth, PACT has received increasing attention in preclinical and clinical practice. To date, there has been a proliferation of PACT systems designed for specific biomedical imaging applications, from small animals to human organs, from ex vivo to in vivo real-time imaging, and from simple structural imaging to functional and molecular imaging with external contrast agents. Therefore, it is of great importance to summarize the previous applications of PACT systems in biomedical imaging and clinical practice. In this review, we searched for studies related to PACT imaging of biomedical tissues and samples over the past two decades; divided the studies into two categories, PACT imaging of preclinical animals and PACT imaging of human organs and body parts; and discussed the significance of the studies. Finally, we pointed out the future directions of PACT in biomedical applications. With the development of exogenous contrast agents and advances of imaging technique, in the future, PACT will enable biomedical imaging from organs to whole bodies, from superficial vasculature to internal organs, from anatomy to functions, and will play an increasingly important role in biomedical research and clinical practice.
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Affiliation(s)
- Yanru Gu
- Department of Radiology The Second Affiliated Hospital of Shandong First Medical University Taian China.,Department of Radiology Shandong First Medical University and Shandong Academy of Medical Sciences Taian China
| | - Yuanyuan Sun
- Department of Radiology Shandong First Medical University and Shandong Academy of Medical Sciences Taian China
| | - Xiao Wang
- College of Ocean Science and Engineering Shandong University of Science and Technology Qingdao China
| | - Hongyu Li
- College of Ocean Science and Engineering Shandong University of Science and Technology Qingdao China
| | - Jianfeng Qiu
- Department of Radiology Shandong First Medical University and Shandong Academy of Medical Sciences Taian China
| | - Weizhao Lu
- Department of Radiology The Second Affiliated Hospital of Shandong First Medical University Taian China.,Department of Radiology Shandong First Medical University and Shandong Academy of Medical Sciences Taian China
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11
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Chen F, Sun M, Chen R, Li C, Shi J. Absolute Grüneisen parameter measurement in deep tissue based on X-ray-induced acoustic computed tomography. BIOMEDICAL OPTICS EXPRESS 2023; 14:1205-1215. [PMID: 36950240 PMCID: PMC10026575 DOI: 10.1364/boe.483490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
The Grüneisen parameter is a primary parameter of the initial sound pressure signal in the photoacoustic effect, which can provide unique biological information and is related to the temperature change information of an object. The accurate measurement of this parameter is of great significance in biomedical research. Combining X-ray-induced acoustic tomography and conventional X-ray computed tomography, we proposed a method to obtain the absolute Grüneisen parameter. The theory development, numerical simulation, and biomedical application scenarios are discussed. The results reveal that our method not only can determine the Grüneisen parameter but can also obtain the body internal temperature distribution, presenting its potential in the diagnosis of a broad range of diseases.
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12
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Hakakzadeh S, Amjadian M, Zhang Y, Mostafavi SM, Kavehvash Z, Wang L. Signal restoration algorithm for photoacoustic imaging systems. BIOMEDICAL OPTICS EXPRESS 2023; 14:651-666. [PMID: 36874483 PMCID: PMC9979682 DOI: 10.1364/boe.480842] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 06/18/2023]
Abstract
In a photoacoustic (PA) imaging system, the detectors are bandwidth-limited. Therefore, they capture PA signals with some unwanted ripples. This limitation degrades the resolution/contrast and induces sidelobes and artifacts in the reconstructed images along the axial direction. To compensate for the limited bandwidth effect, we present a PA signal restoration algorithm, where a mask is designed to extract the signals at the absorber positions and remove the unwanted ripples. This restoration improves the axial resolution and contrast in the reconstructed image. The restored PA signals can be considered as the input of the conventional reconstruction algorithms (e.g., Delay-and-sum (DAS) and Delay-multiply-and-sum (DMAS)). To compare the performance of the proposed method, DAS and DMAS reconstruction algorithms were performed with both the initial and restored PA signals on numerical and experimental studies (numerical targets, tungsten wires, and human forearm). The results show that, compared with the initial PA signals, the restored PA signals can improve the axial resolution and contrast by 45% and 16.1 dB, respectively, and suppress background artifacts by 80%.
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Affiliation(s)
- Soheil Hakakzadeh
- Electrical Engineering Department of Sharif University of Technology, Tehran, Iran
- Equal Contribution
| | - Mohammadreza Amjadian
- Electrical Engineering Department of Sharif University of Technology, Tehran, Iran
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
- Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Equal Contribution
| | - Yachao Zhang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | | | - Zahra Kavehvash
- Electrical Engineering Department of Sharif University of Technology, Tehran, Iran
| | - Lidai Wang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
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13
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Wang Z, Yang F, Zhang W, Xiong K, Yang S. Towards in vivo photoacoustic human imaging: shining a new light on clinical diagnostics. FUNDAMENTAL RESEARCH 2023. [DOI: 10.1016/j.fmre.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
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14
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Choi W, Park B, Choi S, Oh D, Kim J, Kim C. Recent Advances in Contrast-Enhanced Photoacoustic Imaging: Overcoming the Physical and Practical Challenges. Chem Rev 2023. [PMID: 36642892 DOI: 10.1021/acs.chemrev.2c00627] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
For decades now, photoacoustic imaging (PAI) has been investigated to realize its potential as a niche biomedical imaging modality. Despite its highly desirable optical contrast and ultrasonic spatiotemporal resolution, PAI is challenged by such physical limitations as a low signal-to-noise ratio (SNR), diminished image contrast due to strong optical attenuation, and a lower-bound on spatial resolution in deep tissue. In addition, contrast-enhanced PAI has faced practical limitations such as insufficient cell-specific targeting due to low delivery efficiency and difficulties in developing clinically translatable agents. Identifying these limitations is essential to the continuing expansion of the field, and substantial advances in developing contrast-enhancing agents, complemented by high-performance image acquisition systems, have synergistically dealt with the challenges of conventional PAI. This review covers the past four years of research on pushing the physical and practical challenges of PAI in terms of SNR/contrast, spatial resolution, targeted delivery, and clinical application. Promising strategies for dealing with each challenge are reviewed in detail, and future research directions for next generation contrast-enhanced PAI are discussed.
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Affiliation(s)
- Wonseok Choi
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Byullee Park
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Seongwook Choi
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Donghyeon Oh
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Jongbeom Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, and Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang37673, Republic of Korea
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15
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Kim W, Choi W, Ahn J, Lee C, Kim C. Wide-field three-dimensional photoacoustic/ultrasound scanner using a two-dimensional matrix transducer array. OPTICS LETTERS 2023; 48:343-346. [PMID: 36638453 DOI: 10.1364/ol.475725] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Two-dimensional matrix transducer arrays are the most appropriate imaging probes for acquiring dual-modal 3D photoacoustic (PA)/ultrasound (US) images. However, they have small footprints which limit the field-of-view (FOV) to less than 10 mm × 10 mm and degrade the spatial resolution. In this study, we demonstrate a dual-modal PA and US imaging system (using a 2D matrix transducer array and a motorized 2D scanning system) to enlarge the FOV of volumetric images. Multiple PA volumes were merged to form a wide-field image of approximately 45 mm × 45 mm. In vivo imaging was demonstrated using rat sentinel lymph nodes (SLNs) and bladders stained with methylene blue. We believe that this volumetric PA/US imaging technique with a 2D matrix transducer array can be a useful tool for narrow-field real-time monitoring and wide-field imaging of various preclinical and clinical studies.
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16
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Danko V, Jüngert J, Schuessler S, Buehler A, Klett D, Federle A, Roos A, Lochmüller H, Neurath MF, Woelfle J, Trollmann R, Waldner MJ, Knieling F, Regensburger AP, Wagner AL. Hybrid reflected-ultrasound computed tomography versus B-mode-ultrasound for muscle scoring in spinal muscular atrophy. J Neuroimaging 2023; 33:393-403. [PMID: 36627228 DOI: 10.1111/jon.13081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 12/19/2022] [Accepted: 12/27/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND AND PURPOSE Novel light- and sound-based technologies like multispectral optoacoustic tomography (MSOT) with co-registered reflected-ultrasound computed tomography (RUCT) could add additional value to conventional ultrasound (US) for disease phenotyping in pediatric spinal muscular atrophy (SMA). The aim of this study was to investigate the quality of RUCT compared to US for qualitative and quantitative assessment of imaging neuromuscular disorders. METHODS Subanalyzing the MSOT SMA study, 288 RUCT and 276 US images from 10 SMA patients (mean age 9.0 ± 3.7) and 10 gender- and age-matched healthy volunteers (HV; mean age 8.7 ± 4.3) were analyzed for quantitative (grayscale levels [GSLs]) and qualitative (echogenicity, distribution pattern, Heckmatt scale, and muscle texture) muscle changes. RUCT and US measures were further correlated with clinical standard motor outcomes. RESULTS Quantitative agreement using GSLs revealed significantly higher GSLs in muscles of SMA patients compared to healthy muscles in both techniques (US mean GSL [SD] SMA vs. HV: 110.70 [27.8] vs. 68.85 [19.2], p < .0001; RUCT mean GSL [SD] SMA vs. HV: 91.81 [21.8] vs. 59.86 [8.2], p < .0001) with good correlation with motor outcome tests, respectively. Qualitative agreement between methods for muscle composition was excellent for differentiation of pathological versus healthy muscles, echogenicity, and distribution pattern, moderate for Heckmatt scale, and poor for muscle texture. CONCLUSIONS The data suggest that RUCT may allow the assessment of basic qualitative and quantitative measures for muscular diseases with comparable results to conventional US.
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Affiliation(s)
- Vera Danko
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Stephanie Schuessler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Daniel Klett
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Anna Federle
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Andreas Roos
- Department of Pediatric Neurology, Developmental Neurology and Social Pediatrics, University of Duisburg-Essen, Essen, Germany.,Children's Hospital of Eastern Ontario Research Institute; Division of Neurology, Department of Medicine, The Ottawa Hospital; and Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada.,Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
| | - Hanns Lochmüller
- Children's Hospital of Eastern Ontario Research Institute; Division of Neurology, Department of Medicine, The Ottawa Hospital; and Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
| | - Markus F Neurath
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Regina Trollmann
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Maximilian J Waldner
- Medical Department 1, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,German Center Immunotherapy, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany
| | - Alexandra L Wagner
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nürnberg, Erlangen, Germany.,Center for Chronically Sick Children, Charité-Universitätsmedizin Berlin, Berlin, Germany
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17
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Wen Y, Guo D, Zhang J, Liu X, Liu T, Li L, Jiang S, Wu D, Jiang H. Clinical photoacoustic/ultrasound dual-modal imaging: Current status and future trends. Front Physiol 2022; 13:1036621. [PMID: 36388111 PMCID: PMC9651137 DOI: 10.3389/fphys.2022.1036621] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/05/2022] [Indexed: 08/24/2023] Open
Abstract
Photoacoustic tomography (PAT) is an emerging biomedical imaging modality that combines optical and ultrasonic imaging, providing overlapping fields of view. This hybrid approach allows for a natural integration of PAT and ultrasound (US) imaging in a single platform. Due to the similarities in signal acquisition and processing, the combination of PAT and US imaging creates a new hybrid imaging for novel clinical applications. Over the recent years, particular attention is paid to the development of PAT/US dual-modal systems highlighting mutual benefits in clinical cases, with an aim of substantially improving the specificity and sensitivity for diagnosis of diseases. The demonstrated feasibility and accuracy in these efforts open an avenue of translating PAT/US imaging to practical clinical applications. In this review, the current PAT/US dual-modal imaging systems are discussed in detail, and their promising clinical applications are presented and compared systematically. Finally, this review describes the potential impacts of these combined systems in the coming future.
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Affiliation(s)
- Yanting Wen
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Dan Guo
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Jing Zhang
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Xiaotian Liu
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Ting Liu
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Lu Li
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Shixie Jiang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Dan Wu
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa, FL, United States
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18
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Ozbek A, Dean-Ben XL, Razansky D. Universal Real-Time Adaptive Signal Compression for High-Frame-Rate Optoacoustic Tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING 2022; 41:2903-2911. [PMID: 35588420 DOI: 10.1109/tmi.2022.3175471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Optoacoustic tomography (OAT) has recently been advanced toward ultrafast volumetric imaging frame rates in the kilohertz range. As a result, excessive data processing and storage capacity requirements are increasingly being imposed on the imaging systems. OAT data commonly exhibit significant sparsity across the spatial, temporal or spectral domains, which facilitated the development of compressed sensing algorithms exploiting various sparse acquisition and under-sampling schemes to reduce data rates. However, performance of compressed sensing critically depends on a priori knowledge on the type of acquired data and/or imaged object, commonly resulting in lack of general applicability and unpredictable image quality. In this work, we report on a fast adaptive OAT data compression framework operating on fully sampled tomographic data. It is based on a wavelet packet transform that maximizes the data compression ratio according to the desired signal energy loss. A dedicated reconstruction method was further developed that efficiently renders images directly from the compressed data. Up to 1000x compression ratios were achieved while providing efficient control over the resulting image quality from arbitrary datasets exhibiting diverse spatial, temporal and spectral characteristics. Our approach enables faster and longer acquisitions and facilitates long-term storage of large OAT datasets.
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19
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Shao C, Li Z, Zhang C, Zhang W, He R, Cai Y, Xu J. Optical diagnostic imaging and therapy for thyroid cancer. Mater Today Bio 2022; 17:100441. [PMID: 36388462 PMCID: PMC9640994 DOI: 10.1016/j.mtbio.2022.100441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/22/2022] [Accepted: 09/24/2022] [Indexed: 11/30/2022]
Abstract
Thyroid cancer, as one of the most common endocrine cancers, has seen a surge in incidence in recent years. This is most likely due to the lack of specificity and accuracy of its traditional diagnostic modalities, leading to the overdiagnosis of thyroid nodules. Although there are several treatment options available, they are limited to surgery and 131I radiation therapy that come with significant side effects and hence cannot meet the treatment needs of anaplastic thyroid carcinoma with very high malignancy. Optical imaging that utilizes optical absorption, refraction and scattering properties, not only observes the structure and function of cells, tissues, organs, or even the whole organism to assist in diagnosis, but can also be used to perform optical therapy to achieve targeted non-invasive and precise treatment of thyroid cancer. These applications of screening, diagnosis, and treatment, lend to optical imaging's promising potential within the realm of thyroid cancer surgical navigation. Over the past decade, research on optical imaging in the diagnosis and treatment of thyroid cancer has been growing year by year, but no comprehensive review on this topic has been published. Here, we review key advances in the application of optical imaging in the diagnosis and treatment of thyroid cancer and discuss the challenges and potential for clinical translation of this technology.
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20
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Zhang Y, Yang S, Xia Z, Hou R, Xu B, Hou L, Marsh JH, Hou JJ, Sani SMR, Liu X, Xiong J. Co-optimization method to improve lateral resolution in photoacoustic computed tomography. BIOMEDICAL OPTICS EXPRESS 2022; 13:4621-4636. [PMID: 36187257 PMCID: PMC9484412 DOI: 10.1364/boe.469744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/01/2022] [Accepted: 08/01/2022] [Indexed: 05/28/2023]
Abstract
In biomedical imaging, photoacoustic computed tomography (PACT) has recently gained increased interest as this imaging technique has good optical contrast and depth of acoustic penetration. However, a spinning blur will be introduced during the image reconstruction process due to the limited size of the ultrasonic transducers (UT) and a discontinuous measurement process. In this study, a damping UT and adaptive back-projection co-optimization (CODA) method is developed to improve the lateral spatial resolution of PACT. In our PACT system, a damping aperture UT controls the size of the receiving area, which suppresses image blur at the signal acquisition stage. Then, an innovative adaptive back-projection algorithm is developed, which corrects the undesirable artifacts. The proposed method was evaluated using agar phantom and ex-vivo experiments. The results show that the CODA method can effectively compensate for the spinning blur and eliminate unwanted artifacts in PACT. The proposed method can significantly improve the lateral spatial resolution and image quality of reconstructed images, making it more appealing for wider clinical applications of PACT as a novel, cost-effective modality.
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Affiliation(s)
- Yang Zhang
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Shufan Yang
- School of Computing, Edinburgh Napier University, Edinburgh, Scotland, EH10 5DT, UK
| | - Zhiying Xia
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Ruijie Hou
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Bin Xu
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Lianping Hou
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
| | - John H. Marsh
- James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
| | - Jamie Jiangmin Hou
- The Royal College of Surgeons of Edinburgh, Nicolson Street, Edinburgh, Scotland, EH8 9DW, UK
| | | | - Xuefeng Liu
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
- Equal Contribution
| | - Jichuan Xiong
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
- Equal Contribution
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21
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Pang Z, Wang Y, Qin W, Qi W, Xi L. Handheld volumetric photoacoustic/ultrasound imaging using an internal scanning mechanism. OPTICS LETTERS 2022; 47:2418-2421. [PMID: 35561365 DOI: 10.1364/ol.458274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/07/2022] [Indexed: 06/15/2023]
Abstract
Photoacoustic/ultrasound (PA/US) dual-modality imaging has been evolving rapidly for the last two decades. Handheld PA/US probes with different implementations have attracted particular attention due to their convenience and high applicability. However, developing a volumetric dual-modality PA/US imaging probe with a compact design remains a challenge. Here, we develop a handheld volumetric PA/US imaging probe with a special light-ultrasound coupling design and an internal scanning mechanism. A coaxial design for the excitation and detection paths in a customized 3D-printed housing with a size of 110 × 90 × 64 mm3 is proposed to optimize the signal-to-noise ratio (SNR) of the handheld probe for deep tissue imaging. Two parallel and synchronously rotational acoustic reflectors allow for volumetric imaging with an effective field of view (FOV) of more than 30 mm × 20 mm × 8 mm. In addition to simulation and phantom validations, in vivo human trials are successfully carried out, demonstrating the high imaging quality and stability of the system for potential clinical translations.
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22
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Voskuil FJ, Vonk J, van der Vegt B, Kruijff S, Ntziachristos V, van der Zaag PJ, Witjes MJH, van Dam GM. Intraoperative imaging in pathology-assisted surgery. Nat Biomed Eng 2022; 6:503-514. [PMID: 34750537 DOI: 10.1038/s41551-021-00808-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/17/2021] [Indexed: 12/12/2022]
Abstract
The pathological assessment of surgical specimens during surgery can reduce the incidence of positive resection margins, which otherwise can result in additional surgeries or aggressive therapeutic regimens. To improve patient outcomes, intraoperative spectroscopic, fluorescence-based, structural, optoacoustic and radiological imaging techniques are being tested on freshly excised tissue. The specific clinical setting and tumour type largely determine whether endogenous or exogenous contrast is to be detected and whether the tumour specificity of the detected biomarker, image resolution, image-acquisition times or penetration depth are to be prioritized. In this Perspective, we describe current clinical standards for intraoperative tissue analysis and discuss how intraoperative imaging is being implemented. We also discuss potential implementations of intraoperative pathology-assisted surgery for clinical decision-making.
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Affiliation(s)
- Floris J Voskuil
- Department of Oral and Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jasper Vonk
- Department of Oral and Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bert van der Vegt
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Schelto Kruijff
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Vasilis Ntziachristos
- Chair for Biological Imaging, Center for Translational Cancer Research, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Pieter J van der Zaag
- Phillips Research Laboratories, Eindhoven, The Netherlands.,Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Molecular Biophysics, Zernike Institute, University of Groningen, Groningen, The Netherlands
| | - Max J H Witjes
- Department of Oral and Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gooitzen M van Dam
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. .,AxelaRx/TRACER BV, Groningen, The Netherlands.
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23
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Han S, Lee H, Kim C, Kim J. Review on Multispectral Photoacoustic Analysis of Cancer: Thyroid and Breast. Metabolites 2022; 12:metabo12050382. [PMID: 35629886 PMCID: PMC9143964 DOI: 10.3390/metabo12050382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 12/11/2022] Open
Abstract
In recent decades, photoacoustic imaging has been used widely in biomedical research, providing molecular and functional information from biological tissues in vivo. In addition to being used for research in small animals, photoacoustic imaging has also been utilized for in vivo human studies, achieving a multispectral photoacoustic response in deep tissue. There have been several clinical trials for screening cancer patients by analyzing multispectral responses, which in turn provide metabolomic information about the underlying biological tissues. This review summarizes the methods and results of clinical photoacoustic trials available in the literature to date to classify cancerous tissues, specifically of the thyroid and breast. From the review, we can conclude that a great potential exists for photoacoustic imaging to be used as a complementary modality to improve diagnostic accuracy for suspicious tumors, thus significantly benefitting patients’ healthcare.
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Affiliation(s)
- Seongyi Han
- Departments of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering, Pusan National University, Busan 46241, Korea; (S.H.); (H.L.)
| | - Haeni Lee
- Departments of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering, Pusan National University, Busan 46241, Korea; (S.H.); (H.L.)
| | - Chulhong Kim
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering, School of Interdisciplinary Bioscience and Bioengineering, Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang 37673, Korea;
| | - Jeesu Kim
- Departments of Cogno-Mechatronics Engineering and Optics & Mechatronics Engineering, Pusan National University, Busan 46241, Korea; (S.H.); (H.L.)
- Correspondence:
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24
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Ikematsu H, Ishihara M, Okawa S, Minamide T, Mitsui T, Kuwata T, Ito M, Kinoshita T, Fujita T, Yano T, Omori T, Ozawa S, Murakoshi D, Irisawa K, Ochiai A. Photoacoustic imaging of fresh human surgically and endoscopically resected gastrointestinal specimens. DEN OPEN 2022; 2:e28. [PMID: 35310764 PMCID: PMC8828192 DOI: 10.1002/deo2.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/04/2021] [Accepted: 05/12/2021] [Indexed: 11/08/2022]
Abstract
Objective Photoacoustic (PA) imaging is a novel noninvasive technique that offers high‐contrast tomographic imaging with ultrasound‐like resolution at depths of centimeters, enabling visualization of deep small vessels. The aim of this pilot study was to survey the characteristics of deep vessel networks in the mucosa of neoplastic gastrointestinal (GI) lesions using PA imaging. Methods Specimens of patients who had undergone surgical and endoscopic resection for GI lesions were included in this study. The PA/ultrasound imaging system for clinical research is characterized by a technology that can superimpose a PA image over an ultrasound image. Three‐dimensional PA images were acquired for the resected specimen before fixation. The stomach and colon of live pigs were incised, and the walls were scanned from the mucosa. Results A total of 32 specimens (nine esophageal, 12 gastric, 11 colorectal) were scanned. The pathological diagnoses were adenomas (n = 2), intramucosal cancers (n = 14), and invasive cancers (n = 16). The deep vessel networks of all lesions could be visualized. In the intramucosal lesions, the deep vessel network was similar to that of a normal tissue. In invasive cancers, the thick and prominent vessel network was visible in the surface layer of esophageal cancers, infiltrated area of gastric cancers, and surface layer and infiltrated area of colorectal cancers. In the images of living pigs, visualizing the vascular network deeper than the submucosa in both the stomach and large intestine was possible. Conclusion Our study confirmed that the deep vessel networks of neoplastic GI lesions were visible by PA imaging.
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Affiliation(s)
- Hiroaki Ikematsu
- Division of Science and Technology for Endoscopy Exploratory Oncology Research and Clinical Trial Center National Cancer Center Chiba Japan
- Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
| | - Miya Ishihara
- Department of Medical Engineering National Defense Medical College Saitama Japan
| | - Shinpei Okawa
- Department of Medical Engineering National Defense Medical College Saitama Japan
| | - Tatsunori Minamide
- Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
| | - Tomohiro Mitsui
- Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
| | - Takeshi Kuwata
- Department of Pathology and Clinical Laboratories National Cancer Center Hospital East Chiba Japan
| | - Masaaki Ito
- Department of Colorectal Surgery National Cancer Center Hospital East Chiba Japan
| | - Takahiro Kinoshita
- Department of Gastric Surgery National Cancer Center Hospital East Chiba Japan
| | - Takeo Fujita
- Department of Esophageal Surgery National Cancer Center Hospital East Chiba Japan
| | - Tomonori Yano
- Department of Gastroenterology and Endoscopy National Cancer Center Hospital East Chiba Japan
| | - Toshihiko Omori
- Medical Systems Research & Development Center Research & Development Management Headquarters FUJIFILM Corporation Kanagawa Japan
| | - Satoshi Ozawa
- Medical Systems Research & Development Center Research & Development Management Headquarters FUJIFILM Corporation Kanagawa Japan
| | - Dai Murakoshi
- Medical Systems Research & Development Center Research & Development Management Headquarters FUJIFILM Corporation Kanagawa Japan
| | - Kaku Irisawa
- Medical Systems Research & Development Center Research & Development Management Headquarters FUJIFILM Corporation Kanagawa Japan
| | - Atsushi Ochiai
- Exploratory Oncology Research and Clinical Trial Center National Cancer Center Chiba Japan
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25
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Wen Y, Wu D, Zhang J, Jiang S, Xiong C, Guo D, Chi Z, Chen Y, Li L, Yang Y, Liu T, Jiang H. Evaluation of Tracheal Stenosis in Rabbits Using Multispectral Optoacoustic Tomography. Front Bioeng Biotechnol 2022; 10:860305. [PMID: 35309993 PMCID: PMC8931196 DOI: 10.3389/fbioe.2022.860305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 02/15/2022] [Indexed: 01/06/2023] Open
Abstract
Objective: Photoacoustic tomography (PAT) and multispectral optoacoustic tomography (MSOT) are evolving technologies that are capable of delivering real-time, high-resolution images of tissues. The purpose of this study was to evaluate the feasibility of using PAT and MSOT for detecting histology in a rabbit tracheal stenosis model.
Method: A total of 12 rabbits (9 stenosis and three control) were randomly divided into four groups (A, B, C and D). Each group consisted of three rabbits, which were staged at the first, fourth, and eighth weeks of stenosis progression, respectively. PAT/MSOT images and corresponding histology from these experimental animals were compared, for analyzing the morphologic features and quantitative tracheal measurements in different tracheal stenosis stage. Result: Both the PAT images and corresponding histology indicated the most severe degree of stenosis in group C. MSOT images indicated notable differences in tracheal contents of group B and D. Conclusion: This study suggests that PAT/MSOT are potentially valuable non-invasive modality which are capable of evaluating tracheal structure and function in vivo.
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Affiliation(s)
- Yanting Wen
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Dan Wu
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Jing Zhang
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Shixie Jiang
- Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Chunyan Xiong
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Dan Guo
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Zihui Chi
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Yi Chen
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Lun Li
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Ying Yang
- School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Ting Liu
- Department of Ultrasound Imaging, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa, FL, United States
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26
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Regensburger AP, Wagner AL, Danko V, Jüngert J, Federle A, Klett D, Schuessler S, Buehler A, Neurath MF, Roos A, Lochmüller H, Woelfle J, Trollmann R, Waldner MJ, Knieling F. Multispectral optoacoustic tomography for non-invasive disease phenotyping in pediatric spinal muscular atrophy patients. PHOTOACOUSTICS 2022; 25:100315. [PMID: 34849338 PMCID: PMC8607197 DOI: 10.1016/j.pacs.2021.100315] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 11/02/2021] [Accepted: 11/08/2021] [Indexed: 05/19/2023]
Abstract
Proximal spinal muscular atrophy (SMA) is a rare progressive, life limiting genetic motor neuron disease. While promising causal therapies are available, meaningful prognostic biomarkers for therapeutic monitoring are missing. We demonstrate handheld Multispectral Optoacoustic Tomography (MSOT) as a novel non-invasive imaging approach to visualize and quantify muscle wasting in pediatric SMA. While MSOT signals were distributed homogeneously in muscles of healthy volunteers (HVs), SMA patients showed moth-eaten optoacoustic signal patterns. Further signal quantification revealed greatest differences between groups at the isosbestic point for hemoglobin (SWL 800 nm). The SWL 800 nm signal intensities further correlated with clinical phenotype tested by standard motor outcome measures. Therefore, handheld MSOT could enable non-invasive assessment of disease burden in SMA patients.
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Affiliation(s)
- Adrian P. Regensburger
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Alexandra L. Wagner
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Vera Danko
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Anna Federle
- Medical Department 1, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Daniel Klett
- Medical Department 1, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Stephanie Schuessler
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Adrian Buehler
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Markus F. Neurath
- Medical Department 1, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Andreas Roos
- Department of Pediatric Neurology, Developmental Neurology and Social Pediatrics, University of Duisburg-Essen, Essen, Germany
| | - Hanns Lochmüller
- Brain and Mind Research Institute, University of Ottawa, Ottawa, Canada
- Division of Neurology, Department of Medicine, The Ottawa Hospital, Canada
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Regina Trollmann
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Maximilian J. Waldner
- Medical Department 1, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
- Correspondence to: Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab) Department of Pediatrics and Adolescent Medicine Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Loschgestraße 15, 91054 Erlangen, Germany.
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27
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Design Principles Governing the Development of Theranostic Anticancer Agents and Their Nanoformulations with Photoacoustic Properties. Pharmaceutics 2022; 14:pharmaceutics14020362. [PMID: 35214094 PMCID: PMC8877540 DOI: 10.3390/pharmaceutics14020362] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 02/05/2023] Open
Abstract
The unmet need to develop novel approaches for cancer diagnosis and treatment has led to the evolution of theranostic agents, which usually include, in addition to the anticancer drug, an imaging agent based mostly on fluorescent agents. Over the past few years, a non-invasive photoacoustic imaging modality has been effectively integrated into theranostic agents. Herein, we shed light on the design principles governing the development of theranostic agents with photoacoustic properties, which can be formulated into nanocarriers to enhance their potency. Specifically, we provide an extensive analysis of their individual constituents including the imaging dyes, drugs, linkers, targeting moieties, and their formulation into nanocarriers. Along these lines, we present numerous relevant paradigms. Finally, we discuss the clinical relevance of the specific strategy, as also the limitations and future perspectives, and through this review, we envisage paving the way for the development of theranostic agents endowed with photoacoustic properties as effective anticancer medicines.
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28
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Agrawal S, Suresh T, Garikipati A, Dangi A, Kothapalli SR. Modeling combined ultrasound and photoacoustic imaging: Simulations aiding device development and artificial intelligence. PHOTOACOUSTICS 2021; 24:100304. [PMID: 34584840 PMCID: PMC8452892 DOI: 10.1016/j.pacs.2021.100304] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 09/01/2021] [Accepted: 09/08/2021] [Indexed: 05/07/2023]
Abstract
Combined ultrasound and photoacoustic (USPA) imaging has attracted several pre-clinical and clinical applications due to its ability to simultaneously display structural, functional, and molecular information of deep biological tissue in real time. However, the depth and wavelength dependent optical attenuation and the unknown optical and acoustic heterogeneities limit the USPA imaging performance in deep tissue regions. Novel instrumentation, image reconstruction, and artificial intelligence (AI) methods are currently being investigated to overcome these limitations and improve the USPA image quality. Effective implementation of these approaches requires a reliable USPA simulation tool capable of generating US based anatomical and PA based molecular contrasts of deep biological tissue. Here, we developed a hybrid USPA simulation platform by integrating finite element models of light (NIRFast) and ultrasound (k-Wave) propagations for co-simulation of B-mode US and PA images. The platform allows optimization of different design parameters for USPA devices, such as the aperture size and frequency of both light and ultrasound detector arrays. For designing tissue-realistic digital phantoms, a dictionary-based function has been added to k-Wave to generate various levels of ultrasound speckle contrast. The feasibility of modeling US imaging combined with optical fluence dependent multispectral PA imaging is demonstrated using homogeneous as well as heterogeneous tissue phantoms mimicking human organs (e.g., prostate and finger). In addition, we also demonstrate the potential of the simulation platform to generate large scale application-specific training and test datasets for AI enhanced USPA imaging. The complete USPA simulation codes together with the supplementary user guides have been posted to an open-source repository (https://github.com/KothapalliLabPSU/US-PA_simulation_codes).
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Affiliation(s)
- Sumit Agrawal
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA
| | - Thaarakh Suresh
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Ankit Garikipati
- Department of Electrical Engineering, Pennsylvania State University, University Park, PA, 16802, USA
| | - Ajay Dangi
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA
| | - Sri-Rajasekhar Kothapalli
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA
- Penn State Cancer Institute, Pennsylvania State University, Hershey, PA, 17033, USA
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29
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Liu N, Chen X, Kimm MA, Stechele M, Chen X, Zhang Z, Wildgruber M, Ma X. In vivo optical molecular imaging of inflammation and immunity. J Mol Med (Berl) 2021; 99:1385-1398. [PMID: 34272967 DOI: 10.1007/s00109-021-02115-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 06/04/2021] [Accepted: 07/07/2021] [Indexed: 12/20/2022]
Abstract
Inflammation is the phenotypic form of various diseases. Recent development in molecular imaging provides new insights into the diagnostic and therapeutic evaluation of different inflammatory diseases as well as diseases involving inflammation such as cancer. While conventional imaging techniques used in the clinical setting provide only indirect measures of inflammation such as increased perfusion and altered endothelial permeability, optical imaging is able to report molecular information on diseased tissue and cells. Optical imaging is a quick, noninvasive, nonionizing, and easy-to-use diagnostic technology which has been successfully applied for preclinical research. Further development of optical imaging technology such as optoacoustic imaging overcomes the limitations of mere fluorescence imaging, thereby enabling pilot clinical applications in humans. By means of endogenous and exogenous contrast agents, sites of inflammation can be accurately visualized in vivo. This allows for early disease detection and specific disease characterization, enabling more rapid and targeted therapeutic interventions. In this review, we summarize currently available optical imaging techniques used to detect inflammation, including optical coherence tomography (OCT), bioluminescence, fluorescence, optoacoustics, and Raman spectroscopy. We discuss advantages and disadvantages of the different in vivo imaging applications with a special focus on targeting inflammation including immune cell tracking.
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Affiliation(s)
- Nian Liu
- State Key Laboratory of Natural Medicines, Key Laboratory of Drug Quality Control and Pharmacovigilance, Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, 210009, China
- Department of Chemistry, Technical University of Munich, 85747, Garching, Germany
| | - Xiao Chen
- Klinik und Poliklinik IV, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Melanie A Kimm
- Department of Radiology, University Hospital, LMU Munich, 81337, Munich, Germany
| | - Matthias Stechele
- Department of Radiology, University Hospital, LMU Munich, 81337, Munich, Germany
| | - Xueli Chen
- School of Life Science and Technology, Xidian University, Xi'an 710126, China
| | - Zhimin Zhang
- School of Control Science and Engineering, Shandong University, Jinan, 250061, China
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, 81337, Munich, Germany
| | - Xiaopeng Ma
- School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
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30
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Steinberg I, Kim J, Schneider MK, Hyun D, Zlitni A, Hopper SM, Klap T, Sonn GA, Dahl JJ, Kim C, Gambhir SS. Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER) for Clinical Photoacoustic Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:1888-1897. [PMID: 33755561 DOI: 10.1109/tmi.2021.3068181] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Photoacoustic (PA) imaging can revolutionize medical ultrasound by augmenting it with molecular information. However, clinical translation of PA imaging remains a challenge due to the limited viewing angles and imaging depth. Described here is a new robust algorithm called Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER), designed to reconstruct PA images in real-time and to address the artifacts associated with limited viewing angles and imaging depth. The method utilizes precise forward modeling of the PA propagation and reception of signals while accounting for the effects of acoustic absorption, element size, shape, and sensitivity, as well as the transducer's impulse response and directivity pattern. A fast superiorized conjugate gradient algorithm is used for inversion. SPANNER is compared to three reconstruction algorithms: delay-and-sum (DAS), universal back-projection (UBP), and model-based reconstruction (MBR). All four algorithms are applied to both simulations and experimental data acquired from tissue-mimicking phantoms, ex vivo tissue samples, and in vivo imaging of the prostates in patients. Simulations and phantom experiments highlight the ability of SPANNER to improve contrast to background ratio by up to 20 dB compared to all other algorithms, as well as a 3-fold increase in axial resolution compared to DAS and UBP. Applying SPANNER on contrast-enhanced PA images acquired from prostate cancer patients yielded a statistically significant difference before and after contrast agent administration, while the other three image reconstruction methods did not, thus highlighting SPANNER's performance in differentiating intrinsic from extrinsic PA signals and its ability to quantify PA signals from the contrast agent more accurately.
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31
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Kim J, Park B, Ha J, Steinberg I, Hooper SM, Jeong C, Park EY, Choi W, Liang T, Bae JS, Managuli R, Kim Y, Gambhir SS, Lim DJ, Kim C. Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo. Cancer Res 2021; 81:4849-4860. [PMID: 34185675 DOI: 10.1158/0008-5472.can-20-3334] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 01/20/2021] [Accepted: 06/18/2021] [Indexed: 11/16/2022]
Abstract
Thyroid cancer is one of the most common cancers, with a global increase in incidence rate for both genders. Ultrasound-guided fine-needle aspiration is the current gold standard to diagnose thyroid cancers, but the results are inaccurate, leading to repeated biopsies and unnecessary surgeries. To reduce the number of unnecessary biopsies, we explored the use of multiparametric photoacoustic (PA) analysis in combination with the American Thyroid Association (ATA) Guideline (ATAP). In this study, we performed in vivo multispectral PA imaging on thyroid nodules from 52 patients, comprising 23 papillary thyroid cancer (PTC) and 29 benign cases. From the multispectral PA data, we calculated hemoglobin oxygen saturation level in the nodule area, then classified the PTC and benign nodules with multiparametric analysis. Statistical analyses showed that this multiparametric analysis of multispectral PA responses could classify PTC nodules. Combining the photoacoustically indicated probability of PTC and the ATAP led to a new scoring method that achieved a sensitivity of 83% and a specificity of 93%. This study is the first multiparametric analysis of multispectral PA data of thyroid nodules with statistical significance. As a proof of concept, the results show that the proposed new ATAP scoring can help physicians examine thyroid nodules for fine-needle aspiration biopsy, thus reducing unnecessary biopsies.
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Affiliation(s)
- Jeesu Kim
- Electrical Engineering, Pohang University of Science and Technology
| | - Byullee Park
- Convergence IT Engineering, Pohang University of Science and Technology
| | - Jeonghoon Ha
- Endocrinology and Metabolism, The Catholic University of Korea, Seoul St. Mary's Hospital
| | | | | | - Chaiho Jeong
- Endocrinology and Metabolism, The Catholic University of Korea, Seoul St. Mary's Hospital
| | - Eun-Yeong Park
- Electrical Engineering, Pohang University of Science and Technology
| | - Wonseok Choi
- Electrical Engineering, Pohang University of Science and Technology
| | | | | | | | - Yongmin Kim
- Electrical Engineering, Pohang University of Science and Technology
| | | | - Dong-Jun Lim
- Endocrinology and Metabolism, The Catholic University of Korea, Seoul St. Mary's Hospital
| | - Chulhong Kim
- Electrical Engineering, Pohang University of Science and Technology
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32
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Karlas A, Pleitez MA, Aguirre J, Ntziachristos V. Optoacoustic imaging in endocrinology and metabolism. Nat Rev Endocrinol 2021; 17:323-335. [PMID: 33875856 DOI: 10.1038/s41574-021-00482-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/19/2021] [Indexed: 02/02/2023]
Abstract
Imaging is an essential tool in research, diagnostics and the management of endocrine disorders. Ultrasonography, nuclear medicine techniques, MRI, CT and optical methods are already used for applications in endocrinology. Optoacoustic imaging, also termed photoacoustic imaging, is emerging as a method for visualizing endocrine physiology and disease at different scales of detail: microscopic, mesoscopic and macroscopic. Optoacoustic contrast arises from endogenous light absorbers, such as oxygenated and deoxygenated haemoglobin, lipids and water, or exogenous contrast agents, and reveals tissue vasculature, perfusion, oxygenation, metabolic activity and inflammation. The development of high-performance optoacoustic scanners for use in humans has given rise to a variety of clinical investigations, which complement the use of the technology in preclinical research. Here, we review key progress with optoacoustic imaging technology as it relates to applications in endocrinology; for example, to visualize thyroid morphology and function, and the microvasculature in diabetes mellitus or adipose tissue metabolism, with particular focus on multispectral optoacoustic tomography and raster-scan optoacoustic mesoscopy. We explain the merits of optoacoustic microscopy and focus on mid-infrared optoacoustic microscopy, which enables label-free imaging of metabolites in cells and tissues. We showcase current optoacoustic applications within endocrinology and discuss the potential of these technologies to advance research and clinical practice.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Munich Partner Site, German Center for Cardiovascular Research (DZHK), Munich, Germany
| | - Miguel A Pleitez
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Juan Aguirre
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
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Chen Q, Qin W, Qi W, Xi L. Progress of clinical translation of handheld and semi-handheld photoacoustic imaging. PHOTOACOUSTICS 2021; 22:100264. [PMID: 33868921 PMCID: PMC8040335 DOI: 10.1016/j.pacs.2021.100264] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 03/10/2021] [Accepted: 03/10/2021] [Indexed: 05/05/2023]
Abstract
Photoacoustic imaging (PAI), featuring rich contrast, high spatial/temporal resolution and deep penetration, is one of the fastest-growing biomedical imaging technology over the last decade. To date, numbers of handheld and semi-handheld photoacoustic imaging devices have been reported with corresponding potential clinical applications. Here, we summarize emerged handheld and semi-handheld systems in terms of photoacoustic computed tomography (PACT), optoacoustic mesoscopy (OAMes), and photoacoustic microscopy (PAM). We will discuss each modality in three aspects: laser delivery, scanning protocol, and acoustic detection. Besides new technical developments, we also review the associated clinical studies, and the advantages/disadvantages of these new techniques. In the end, we propose the challenges and perspectives of miniaturized PAI in the future.
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Affiliation(s)
- Qian Chen
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Wei Qin
- School of Physics, University of Electronics Science and Technology of China, Chengdu, 610054, China
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Weizhi Qi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Lei Xi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
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MacCuaig WM, Jones MA, Abeyakoon O, McNally LR. Development of Multispectral Optoacoustic Tomography as a Clinically Translatable Modality for Cancer Imaging. Radiol Imaging Cancer 2020; 2:e200066. [PMID: 33330850 PMCID: PMC7706874 DOI: 10.1148/rycan.2020200066] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/12/2020] [Accepted: 08/19/2020] [Indexed: 12/18/2022]
Abstract
The use of optoacoustic imaging takes advantage of the photoacoustic effect to generate high-contrast, high-resolution medical images at penetration depths of up to 5 cm. Multispectral optoacoustic tomography (MSOT) is a type of optoacoustic imaging system that has seen promising preclinical success with a recent emergence into the clinic. Multiwavelength illumination of tissue allows for the mapping of multiple chromophores, which are generated endogenously or exogenously. However, translation of MSOT to the clinic is still in its preliminary stages. For successful translation, MSOT requires refinement of probes and data-acquisition systems to tailor to the human body, along with more intuitive, real-time visualization settings. The possibilities of optoacoustic imaging, namely MSOT, in the clinic are reviewed here. ©RSNA, 2020.
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Affiliation(s)
| | | | - Oshaani Abeyakoon
- From the Stephenson Cancer Center (W.M.M., M.A.J., L.R.M.) and Department of Surgery (L.R.M.), University of Oklahoma, 755 Research Parkway, 1 Medical Center Blvd, Oklahoma City, OK 73104; Department of Biomedical Engineering, University of Oklahoma, Norman, Okla (W.M.M., M.A.J., L.R.M.); and Department of Interventional Radiology, University College Hospital London, London, England (O.A.)
| | - Lacey R. McNally
- From the Stephenson Cancer Center (W.M.M., M.A.J., L.R.M.) and Department of Surgery (L.R.M.), University of Oklahoma, 755 Research Parkway, 1 Medical Center Blvd, Oklahoma City, OK 73104; Department of Biomedical Engineering, University of Oklahoma, Norman, Okla (W.M.M., M.A.J., L.R.M.); and Department of Interventional Radiology, University College Hospital London, London, England (O.A.)
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Yang H, Jüstel D, Prakash J, Karlas A, Helfen A, Masthoff M, Wildgruber M, Ntziachristos V. Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging. PHOTOACOUSTICS 2020; 19:100172. [PMID: 32280585 PMCID: PMC7139114 DOI: 10.1016/j.pacs.2020.100172] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 02/24/2020] [Accepted: 02/26/2020] [Indexed: 05/06/2023]
Abstract
Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables images from one modality to be employed as prior information for improving an aspect of the performance of the other modality. We consider herein a handheld OPUS system and utilize structural information from ultrasound images to guide regional Laplacian regularization-based reconstruction of optoacoustic images. Using phantoms and data from OPUS scans of human radial and carotid arteries, we show that ultrasound-driven optoacoustic inversion reduces limited-view artefacts and improves image contrast. In phantoms, prior-integrated reconstruction leads to a 50 % higher contrast-to-noise ratio (CNR) of the image than standard reconstruction, and a 17 % higher structural similarity (SSIM) index. In clinical data, prior-integrated reconstruction detects deep-seated radial arteries with higher CNR than the standard method at three different depths. In this way, the prior-integrated method offers unique insights into atherosclerotic carotid plaques in humans (with p<0.01 between patients and healthy volunteers), potentially paving the way for new abilities in vascular imaging and more generally in optoacoustic imaging.
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Affiliation(s)
- Hong Yang
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany
- Chair of Biological Imaging and TranslaTUM, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
| | - Dominik Jüstel
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany
- Chair of Biological Imaging and TranslaTUM, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
| | - Jaya Prakash
- Dept. of Instrumentation and Applied Physics, Indian Institute of Science, C. V. Raman Road, 560012, Bangalore, India
| | - Angelos Karlas
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany
- Chair of Biological Imaging and TranslaTUM, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
- Clinic for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Ismaninger Str. 22, D-81675, München, Germany
| | - Anne Helfen
- Department of Clinical Radiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, A16, 49149, Muenster, Germany
| | - Max Masthoff
- Department of Clinical Radiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, A16, 49149, Muenster, Germany
| | - Moritz Wildgruber
- Department of Clinical Radiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, A16, 49149, Muenster, Germany
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, Munich, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany
- Chair of Biological Imaging and TranslaTUM, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
- Corresponding author at: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany.
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Manwar R, Kratkiewicz K, Avanaki K. Overview of Ultrasound Detection Technologies for Photoacoustic Imaging. MICROMACHINES 2020; 11:E692. [PMID: 32708869 PMCID: PMC7407969 DOI: 10.3390/mi11070692] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/14/2020] [Accepted: 07/14/2020] [Indexed: 12/15/2022]
Abstract
Ultrasound detection is one of the major components of photoacoustic imaging systems. Advancement in ultrasound transducer technology has a significant impact on the translation of photoacoustic imaging to the clinic. Here, we present an overview on various ultrasound transducer technologies including conventional piezoelectric and micromachined transducers, as well as optical ultrasound detection technology. We explain the core components of each technology, their working principle, and describe their manufacturing process. We then quantitatively compare their performance when they are used in the receive mode of a photoacoustic imaging system.
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Affiliation(s)
- Rayyan Manwar
- Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA;
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA;
| | - Karl Kratkiewicz
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA;
| | - Kamran Avanaki
- Richard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA;
- Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA;
- Department of Dermatology, University of Illinois at Chicago, Chicago, IL 60607, USA
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38
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Shan T, Zhao Y, Jiang S, Jiang H. In-vivo hemodynamic imaging of acute prenatal ethanol exposure in fetal brain by photoacoustic tomography. JOURNAL OF BIOPHOTONICS 2020; 13:e201960161. [PMID: 31994834 DOI: 10.1002/jbio.201960161] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 01/18/2020] [Accepted: 01/23/2020] [Indexed: 05/25/2023]
Abstract
Prenatal ethanol exposure (PEE) can lead to structural and functional abnormalities in fetal brain. Although neural developmental deficits due to PEE have been recognized, the immediate effects of PEE on fetal brain vasculature and hemodynamics remain poorly understood. One of the major obstacles that preclude the rapid advancement of studies on fetal vascular dynamics is the limitation of the imaging techniques. Thus, a technique for noninvasive in-vivo imaging of fetal vasculature and hemodynamics is desirable. In this study, we explored the dynamic changes of the vessel dimeter, density and oxygen saturation in fetal brain after acute maternal ethanol exposure in the second-trimester equivalent murine model using a real-time photoacoustic tomography system we developed for imaging embryo of small animals. The results indicate a significant decrease in fetal brain vessel diameter, perfusion and oxygen saturation. This work demonstrated that PAT can provide high-resolution noninvasive imaging ability to monitor fetal vascular dynamics.
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Affiliation(s)
- Tianqi Shan
- Department of Biomedical Engineering, University of Florida, Gainesville, Florida
| | - Yuan Zhao
- School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu, China
| | - Shixie Jiang
- Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, Florida
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa, Florida
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Zhang J, Duan F, Liu Y, Nie L. High-Resolution Photoacoustic Tomography for Early-Stage Cancer Detection and Its Clinical Translation. Radiol Imaging Cancer 2020; 2:e190030. [PMID: 33778711 PMCID: PMC7983802 DOI: 10.1148/rycan.2020190030] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 01/02/2020] [Accepted: 01/14/2020] [Indexed: 04/22/2023]
Abstract
Diagnosing cancer during early stages can substantially increase the cure rate, decrease the recurrence rate, and reduce health care costs. Over the past few decades, the continual development of new medical imaging modalities has been an important factor for diagnosing cancer, selecting therapies, and monitoring response to treatment. Photoacoustic tomography (PAT) is a hybrid imaging modality combining optical contrast from absorption of light with the outstanding spatiotemporal resolution of US imaging, providing biomedical morphologic and functional information of early-stage cancer. In this review, the basics and modalities of PAT, as well as a summary of its state-of-art applications in early-stage cancer (breast cancer, melanoma, and prostate cancer) detection and treatment guidance will be introduced. The potential clinical translation in cancer detection of PAT and prospects for the possibilities to lead to further clinical breakthroughs will also be discussed. Keywords: Molecular Imaging-Cancer, Photoacoustic Imaging © RSNA, 2020.
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40
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Dangi A, Cheng CY, Agrawal S, Tiwari S, Datta GR, Benoit RR, Pratap R, Trolier-Mckinstry S, Kothapalli SR. A Photoacoustic Imaging Device Using Piezoelectric Micromachined Ultrasound Transducers (PMUTs). IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2020; 67:801-809. [PMID: 31794394 PMCID: PMC7224331 DOI: 10.1109/tuffc.2019.2956463] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
A linear piezoelectric micromachined ultrasound transducer (PMUT) array was fabricated and integrated into a device for photoacoustic imaging (PAI) of tissue phantoms. The PMUT contained 65 array elements, with each element having 60 diaphragms of [Formula: see text] diameter and [Formula: see text] pitch. A lead zirconate titanate (PZT) thin film was used as the piezoelectric layer. The in-air vibration response of the PMUT array elements showed a first mode resonance between 6 and 8 MHz. Hydrophone measurements showed 16.2 kPa average peak ultrasound pressure output at 7.5 mm from one element excited with 5 Vpp input. A receive sensitivity of ~0.48 mV/kPa was observed for a PMUT array element with 0 dB gain. The PMUT array was bonded to a custom-printed circuit board to enable compact integration with an optical fiber bundle for PAI. A broad photoacoustic bandwidth of ~89% was observed for the photoacoustic response captured from absorbing pencil lead targets. Linear scanning of a single element of a PMUT array was performed on different tissue phantoms embedded with light-absorbing targets to successfully demonstrate B-mode PAI using PMUTs.
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41
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Regensburger AP, Wagner AL, Claussen J, Waldner MJ, Knieling F. Shedding light on pediatric diseases: multispectral optoacoustic tomography at the doorway to clinical applications. Mol Cell Pediatr 2020; 7:3. [PMID: 32130546 PMCID: PMC7056767 DOI: 10.1186/s40348-020-00095-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 02/24/2020] [Indexed: 12/25/2022] Open
Abstract
Optoacoustic imaging (OAI), or photoacoustic imaging (PAI), has fundamentally influenced basic science by providing high-resolution visualization of biological mechanisms. With the introduction of multispectral optoacoustic tomography (MSOT), these technologies have now moved closer to clinical applications. MSOT utilizes short-pulsed near-infrared laser light to induce thermoelastic expansion in targeted tissues. This results in acoustic pressure waves, which are used to resolve specific endo- and exogenous chromophores. Especially in the pediatric population, this non-invasive imaging approach might hold fundamental advantages compared to conventional cross-sectional imaging modalities. As this technology allows the visualization of quantitative molecular tissue composition at high spatial resolution non-invasively in sufficient penetration depth, it paves the way to personalized medicine in pediatric diseases.
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Affiliation(s)
- Adrian P Regensburger
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Loschgestraße 15, 91054, Erlangen, Germany
| | - Alexandra L Wagner
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Loschgestraße 15, 91054, Erlangen, Germany
| | - Jing Claussen
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Loschgestraße 15, 91054, Erlangen, Germany
| | - Maximilian J Waldner
- Medical Department 1, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Erlangen, Germany
| | - Ferdinand Knieling
- Pediatric Experimental and Translational Imaging Laboratory (PETI-Lab), Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Loschgestraße 15, 91054, Erlangen, Germany.
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Upputuri PK, Pramanik M. Recent advances in photoacoustic contrast agents for in vivo imaging. WILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY 2020; 12:e1618. [DOI: 10.1002/wnan.1618] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 12/31/2019] [Accepted: 01/16/2020] [Indexed: 12/19/2022]
Affiliation(s)
- Paul Kumar Upputuri
- School of Chemical and Biomedical Engineering Nanyang Technological University Singapore Singapore
| | - Manojit Pramanik
- School of Chemical and Biomedical Engineering Nanyang Technological University Singapore Singapore
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43
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Bai S, Liao J, Zhang B, Zhao M, You B, Li P, Ran H, Wang Z, Shi R, Zhang G. Multimodal and multifunctional nanoparticles with platelet targeting ability and phase transition efficiency for the molecular imaging and thrombolysis of coronary microthrombi. Biomater Sci 2020; 8:5047-5060. [PMID: 32830839 DOI: 10.1039/d0bm00818d] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
In this article, we constructed PLGA-cRGD-PFH-ICG NPs through emulsification process and then the bi-modal imaging of coronary microthrombi in ischemia/reperfusion rat model and thrombolysis of clots in vitro were both successfully completed by these NPs.
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Affiliation(s)
- Sheng Bai
- Department of Ultrasound
- Xiangya Hospital Central South University
- Changsha
- China
| | - Jintang Liao
- Department of Ultrasound
- Xiangya Hospital Central South University
- Changsha
- China
| | - Bo Zhang
- Department of Ultrasound
- Xiangya Hospital Central South University
- Changsha
- China
| | - Min Zhao
- Department of Nuclear Medicine
- Xiangya Hospital Central South University
- Changsha
- China
| | - Baiyang You
- Cardiac Rehabilitation Center
- Department of Rehabilitation
- Xiangya Hospital Central South University
- Changsha
- China
| | - Pan Li
- Institute of Ultrasound imaging of Chongqing Medical University
- Chongqing 400010
- P. R. China
| | - Haitao Ran
- Institute of Ultrasound imaging of Chongqing Medical University
- Chongqing 400010
- P. R. China
| | - Zhigang Wang
- Institute of Ultrasound imaging of Chongqing Medical University
- Chongqing 400010
- P. R. China
| | - Ruizheng Shi
- Department of Cardiovascular Medicine
- Xiangya Hospital Central South University
- Changsha
- China
| | - Guogang Zhang
- Department of Cardiovascular Medicine
- Xiangya Hospital Central South University
- Changsha
- China
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44
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Jin H, Zhang R, Liu S, Zheng Y. Fast and High-Resolution Three-Dimensional Hybrid-Domain Photoacoustic Imaging Incorporating Analytical-Focused Transducer Beam Amplitude. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019; 38:2926-2936. [PMID: 31135353 DOI: 10.1109/tmi.2019.2917688] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Recently, many reconstruction methods have been developed to improve the lateral resolution of acoustic-resolution photoacoustic microscopy (ARPAM) in out-of-focus regions. Though these methods enhance image resolution to some extent, they require advanced computational hardware and large computational time, especially for three-dimensional (3-D) cases. However, some methods do not consider the finite size of a transducer, while others employ numerical discretization to build a focused transducer model that is less efficient and accurate. To overcome these problems, we propose a 3-D ARPAM imaging reconstruction method with high precision, high efficiency, and low memory cost. It inherits the framework of model-based reconstructions and incorporates the forward acoustic model in the hybrid domain. This hybrid-domain acoustic model promotes an analytical solution to establish a focused transducer model. Furthermore, the non-uniform fast Fourier transform (NUFFT) and deconvolution methods are introduced to reduce the required computational time and memory volume for 3-D reconstructions. According to the experimental results reconstructed by the proposed method, the lateral resolution of an ARPAM image recorded by a 20-MHz focused transducer (NA 0.393) can reach 88.39 [Formula: see text]. This resolution exceeds the diffraction limitation of the focused transducer ( [Formula: see text]). When reconstructing a 3-D image with 200×200×150 pixels, the proposed method takes only 8.15 s using a laptop loaded with Intel Core i7-8550U CPU at 1.8 GHz and 1.06-GB memory.
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45
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Yoon H, Zhu YI, Yarmoska SK, Emelianov SY. Design and Demonstration of a Configurable Imaging Platform for Combined Laser, Ultrasound, and Elasticity Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2019; 38:1622-1632. [PMID: 30596572 PMCID: PMC7286075 DOI: 10.1109/tmi.2018.2889736] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
This paper introduces a configurable combined laser, ultrasound, and elasticity (CLUE) imaging platform. The CLUE platform enables imaging sequences capable of simultaneously providing quantitative acoustic, optical, and mechanical contrast for comprehensive diagnosis and monitoring of complex diseases, such as cancer. The CLUE imaging platform was developed on a Verasonics ultrasound scanner integrated with a pulsed laser, and it was designed to be modular and scalable to allow researchers to create their own specific imaging sequences efficiently. The CLUE imaging platform and sequence were demonstrated in a tissue-mimicking phantom containing a stiff inclusion labeled with optically-activated nanodroplets and in an ex vivo mouse spleen. We have shown that CLUE imaging can simultaneously capture multi-functional imaging signals providing quantitative information on tissue.
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46
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Mc Larney B, Rebling J, Chen Z, Deán-Ben XL, Gottschalk S, Razansky D. Uniform light delivery in volumetric optoacoustic tomography. JOURNAL OF BIOPHOTONICS 2019; 12:e201800387. [PMID: 30701679 DOI: 10.1002/jbio.201800387] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/28/2019] [Accepted: 01/29/2019] [Indexed: 05/03/2023]
Abstract
Accurate image reconstruction in volumetric optoacoustic tomography implies the efficient generation and collection of ultrasound signals around the imaged object. Non-uniform delivery of the excitation light is a common problem in optoacoustic imaging often leading to a diminished field of view, limited dynamic range and penetration, as well as impaired quantification abilities. Presented here is an optimized illumination concept for volumetric tomography that utilizes additive manufacturing via 3D printing in combination with custom-made optical fiber illumination. The custom-designed sample chamber ensures convenient access to the imaged object along with accurate positioning of the sample and a matrix array ultrasound transducer used for collection of the volumetric image data. Ray tracing is employed to optimize the positioning of the individual fibers in the chamber. Homogeneity of the generated light excitation field was confirmed in tissue-mimicking agar spheres. Applicability of the system to image entire mouse organs ex vivo has been showcased. The new approach showed a clear advantage over conventional, single-sided illumination strategies by eliminating the need to correct for illumination variances and resulting in enhancement of the effective field of view, greater penetration depth and significant improvements in the overall image quality.
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Affiliation(s)
- Benedict Mc Larney
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
- Faculty of Medicine, Technical University of Munich, Munich, Germany
| | - Johannes Rebling
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
- Faculty of Medicine, Technical University of Munich, Munich, Germany
- Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Zhenyue Chen
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
| | - Xosé Luís Deán-Ben
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
- Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
| | - Sven Gottschalk
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
| | - Daniel Razansky
- Institute for Biological and Medical Imaging, Helmholtz Center Munich, Neuherberg, Germany
- Faculty of Medicine, Technical University of Munich, Munich, Germany
- Faculty of Medicine and Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering and Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland
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47
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Yang J, Zhang G, Wu M, Shang Q, Huang L, Jiang H. Photoacoustic assessment of hemodynamic changes in foot vessels. JOURNAL OF BIOPHOTONICS 2019; 12:e201900004. [PMID: 30916865 DOI: 10.1002/jbio.201900004] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 02/25/2019] [Accepted: 03/25/2019] [Indexed: 06/09/2023]
Abstract
Monitoring the blood supply in the lower extremities is critical for individuals who are vulnerable to vascular dysfunction. Current clinical approaches are ineffective in observing hemodynamic changes in peripheral vessels. In this paper, we investigate the potential of photoacoustic tomography (PAT) as an alternative way to in vivo monitor hemodynamic changes in foot vessels. High spatial and temporal resolution maps of hemoglobin in major arteries and veins are shown. Results from twelve human subjects are presented here to visualize vascular perfusion of healthy volunteers in two age groups (young vs aged). Significant differences between the two groups are observed and verify the declining in vascular function with aging, highlighting the potential of PAT as a new tool to evaluate vascular function in the lower extremities.
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Affiliation(s)
- Jinge Yang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, China
- Center for Information in Medicine, University of Electronic and Technology of China, Chengdu, China
| | - Guang Zhang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, China
- Center for Information in Medicine, University of Electronic and Technology of China, Chengdu, China
| | - Man Wu
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, China
- Center for Information in Medicine, University of Electronic and Technology of China, Chengdu, China
| | - Qiquan Shang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, China
- Center for Information in Medicine, University of Electronic and Technology of China, Chengdu, China
| | - Lin Huang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, China
- Center for Information in Medicine, University of Electronic and Technology of China, Chengdu, China
| | - Huabei Jiang
- School of Electronic Science and Engineering (National Exemplary School of Microelectronics), University of Electronic Science and Technology of China, Chengdu, China
- Center for Information in Medicine, University of Electronic and Technology of China, Chengdu, China
- Department of Medical Engineering, University of South Florida, Tampa, Florida
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48
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Steinberg I, Huland DM, Vermesh O, Frostig HE, Tummers WS, Gambhir SS. Photoacoustic clinical imaging. PHOTOACOUSTICS 2019; 14:77-98. [PMID: 31293884 PMCID: PMC6595011 DOI: 10.1016/j.pacs.2019.05.001] [Citation(s) in RCA: 277] [Impact Index Per Article: 55.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 04/09/2019] [Accepted: 05/30/2019] [Indexed: 05/18/2023]
Abstract
Photoacoustic is an emerging biomedical imaging modality, which allows imaging optical absorbers in the tissue by acoustic detectors (light in - sound out). Such a technique has an immense potential for clinical translation since it allows high resolution, sufficient imaging depth, with diverse endogenous and exogenous contrast, and is free from ionizing radiation. In recent years, tremendous developments in both the instrumentation and imaging agents have been achieved. These opened avenues for clinical imaging of various sites allowed applications such as brain functional imaging, breast cancer screening, diagnosis of psoriasis and skin lesions, biopsy and surgery guidance, the guidance of tumor therapies at the reproductive and urological systems, as well as imaging tumor metastases at the sentinel lymph nodes. Here we survey the various clinical and pre-clinical literature and discuss the potential applications and hurdles that still need to be overcome.
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Affiliation(s)
- Idan Steinberg
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States
| | - David M. Huland
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Ophir Vermesh
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Hadas E. Frostig
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Willemieke S. Tummers
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
| | - Sanjiv S. Gambhir
- Department of Radiology, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Bioengineering, At Stanford University, School of Medicine, Stanford, CA, United States
- Department of Materials Science & Engineering, At Stanford University, School of Medicine, Stanford, CA, United States
- Molecular Imaging Program at Stanford, Canary Center at Stanford for Cancer Early Detection, At Stanford University, School of Medicine, Stanford, CA, United States
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Kalkhoran MA, Vray D. Sparse sampling and reconstruction for an optoacoustic ultrasound volumetric hand-held probe. BIOMEDICAL OPTICS EXPRESS 2019; 10:1545-1556. [PMID: 31061757 PMCID: PMC6484982 DOI: 10.1364/boe.10.001545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 02/05/2019] [Accepted: 02/08/2019] [Indexed: 06/09/2023]
Abstract
Accurate anatomical localization of functional information is the main goal of hybridizing optoacoustic and ultrasound imaging, with the promise of early stage diagnosis and disease pathophysiology. Optoacoustic integration to ultrasound is a relatively mature technique for clinical two-dimensional imaging, however the complexity of biological samples places particular demands for volumetric measurement and reconstruction. This integration is a multi-fold challenge that is mainly associated with the system geometry, the sampling and beam quality. In this study, we evaluated the design geometry for the sparse ultrasonic hand-held probe that is popularly associated with three-dimensional imaging of anatomical deformation, to incorporate the three-dimensional optoacoustic physiological information. We explored the imaging performance of three unconventional annular geometries; namely, segmented, spiral, and circular geometries. To avoid bias evaluation, two classes of analytical and model-based algorithms were used. The superior performance of the segmented annular array for recovery of the true object is demonstrated. Along with the model-based approach, this geometry offers spatial invariant resolution for the optoacoustic mode for the given field of view.The analytical approach, on the other hand, is computationally less expensive and is the method of choice for ultrasound imaging. Our design can potentially evolve into a valuable diagnostic tool, particularly for vascular-related disease.
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Affiliation(s)
| | - Didier Vray
- Université de Lyon, Université Claude Bernard Lyon 1, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Lyon,
France
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50
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Gorey A, Jacob PM, Abraham DT, John R, Manipadam MT, Ansari MS, Chen GCK, Vasudevan S. Differentiation of malignant from benign thyroid nodules using photoacoustic spectral response: a preclinical study. Biomed Phys Eng Express 2019. [DOI: 10.1088/2057-1976/ab101c] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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