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Zhang S, Miao J, Li LS. Challenges and advances in two-dimensional photoacoustic computed tomography: a review. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:070901. [PMID: 39006312 PMCID: PMC11245175 DOI: 10.1117/1.jbo.29.7.070901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 07/16/2024]
Abstract
Significance Photoacoustic computed tomography (PACT), a hybrid imaging modality combining optical excitation with acoustic detection, has rapidly emerged as a prominent biomedical imaging technique. Aim We review the challenges and advances of PACT, including (1) limited view, (2) anisotropy resolution, (3) spatial aliasing, (4) acoustic heterogeneity (speed of sound mismatch), and (5) fluence correction of spectral unmixing. Approach We performed a comprehensive literature review to summarize the key challenges in PACT toward practical applications and discuss various solutions. Results There is a wide range of contributions from both industry and academic spaces. Various approaches, including emerging deep learning methods, are proposed to improve the performance of PACT further. Conclusions We outline contemporary technologies aimed at tackling the challenges in PACT applications.
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Affiliation(s)
- Shunyao Zhang
- Rice University, Department of Electrical and Computer Engineering, Houston, Texas, United States
| | - Jingyi Miao
- Rice University, Department of Electrical and Computer Engineering, Houston, Texas, United States
| | - Lei S. Li
- Rice University, Department of Electrical and Computer Engineering, Houston, Texas, United States
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2
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Tarvainen T, Cox B. Quantitative photoacoustic tomography: modeling and inverse problems. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11509. [PMID: 38125717 PMCID: PMC10731766 DOI: 10.1117/1.jbo.29.s1.s11509] [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: 09/20/2023] [Revised: 11/19/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
Significance Quantitative photoacoustic tomography (QPAT) exploits the photoacoustic effect with the aim of estimating images of clinically relevant quantities related to the tissue's optical absorption. The technique has two aspects: an acoustic part, where the initial acoustic pressure distribution is estimated from measured photoacoustic time-series, and an optical part, where the distributions of the optical parameters are estimated from the initial pressure. Aim Our study is focused on the optical part. In particular, computational modeling of light propagation (forward problem) and numerical solution methodologies of the image reconstruction (inverse problem) are discussed. Approach The commonly used mathematical models of how light and sound propagate in biological tissue are reviewed. A short overview of how the acoustic inverse problem is usually treated is given. The optical inverse problem and methods for its solution are reviewed. In addition, some limitations of real-life measurements and their effect on the inverse problems are discussed. Results An overview of QPAT with a focus on the optical part was given. Computational modeling and inverse problems of QPAT were addressed, and some key challenges were discussed. Furthermore, the developments for tackling these problems were reviewed. Although modeling of light transport is well-understood and there is a well-developed framework of inverse mathematics for approaching the inverse problem of QPAT, there are still challenges in taking these methodologies to practice. Conclusions Modeling and inverse problems of QPAT together were discussed. The scope was limited to the optical part, and the acoustic aspects were discussed only to the extent that they relate to the optical aspect.
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Affiliation(s)
- Tanja Tarvainen
- University of Eastern Finland, Department of Technical Physics, Kuopio, Finland
| | - Ben Cox
- University College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
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3
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Kim M, Pelivanov I, O'Donnell M. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 70:1591-1606. [PMID: 37910419 PMCID: PMC10788151 DOI: 10.1109/tuffc.2023.3329119] [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] [Indexed: 11/03/2023]
Abstract
Photoacoustic (PA) imaging provides optical contrast at relatively large depths within the human body, compared to other optical methods, at ultrasound (US) spatial resolution. By integrating real-time PA and US (PAUS) modalities, PAUS imaging has the potential to become a routine clinical modality bringing the molecular sensitivity of optics to medical US imaging. For applications where the full capabilities of clinical US scanners must be maintained in PAUS, conventional limited view and bandwidth transducers must be used. This approach, however, cannot provide high-quality maps of PA sources, especially vascular structures. Deep learning (DL) using data-driven modeling with minimal human design has been very effective in medical imaging, medical data analysis, and disease diagnosis, and has the potential to overcome many of the technical limitations of current PAUS imaging systems. The primary purpose of this article is to summarize the background and current status of DL applications in PAUS imaging. It also looks beyond current approaches to identify remaining challenges and opportunities for robust translation of PAUS technologies to the clinic.
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Salinas CM, Reichel E, Gupta A, Witte RS. Heavy water coupling gel for short-wave infrared photoacoustic imaging. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:116001. [PMID: 38078156 PMCID: PMC10704084 DOI: 10.1117/1.jbo.28.11.116001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/03/2023] [Accepted: 10/05/2023] [Indexed: 12/18/2023]
Abstract
Significance Changes in lipid, water, and collagen (LWC) content in tissue are associated with numerous medical abnormalities (cancer, atherosclerosis, and Alzheimer's disease). Standard imaging modalities are limited in resolution, specificity, and/or penetration for quantifying these changes. Short-wave infrared (SWIR) photoacoustic imaging (PAI) has the potential to overcome these challenges by exploiting the unique optical absorption properties of LWC > 1000 nm . Aim This study's aim is to harness SWIR PAI for mapping LWC changes in tissue. The focus lies in devising a reflection-mode PAI technique that surmounts current limitations related to SWIR light delivery. Approach To enhance light delivery for reflection-mode SWIR PAI, we designed a deuterium oxide (D 2 O , "heavy water") gelatin (HWG) interface for opto-acoustic coupling, intended to significantly improve light transmission above 1200 nm. Results HWG permits light delivery > 1 mJ up to 1850 nm, which was not possible with water-based coupling (> 1 mJ light delivery up to 1350 nm). PAI using the HWG interface and the Visualsonics Vevo LAZR-X reveals a signal increase up to 24 dB at 1720 nm in lipid-rich regions. Conclusions By overcoming barriers related to light penetration, the HWG coupling interface enables accurate quantification/monitoring of biomarkers like LWC using reflection-mode PAI. This technological stride offers potential for tracking changes in chronic diseases (in vivo) and evaluating their responses to therapeutic interventions.
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Affiliation(s)
| | - Eric Reichel
- University of Arizona, College of Optical Sciences, Tucson, Arizona, United States
| | - Abhiman Gupta
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
| | - Russell S. Witte
- University of Arizona, College of Optical Sciences, Tucson, Arizona, United States
- University of Arizona, Department of Biomedical Engineering, Tucson, Arizona, United States
- University of Arizona, Department of Medical Imaging, Tucson, Arizona, United States
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Fasoula NA, Karlas A, Prokopchuk O, Katsouli N, Bariotakis M, Liapis E, Goetz A, Kallmayer M, Reber J, Novotny A, Friess H, Ringelhan M, Schmid R, Eckstein HH, Hofmann S, Ntziachristos V. Non-invasive multispectral optoacoustic tomography resolves intrahepatic lipids in patients with hepatic steatosis. PHOTOACOUSTICS 2023; 29:100454. [PMID: 36794122 PMCID: PMC9922962 DOI: 10.1016/j.pacs.2023.100454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 01/12/2023] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
Hepatic steatosis is characterized by intrahepatic lipid accumulation and may lead to irreversible liver damage if untreated. Here, we investigate whether multispectral optoacoustic tomography (MSOT) can offer label-free detection of liver lipid content to enable non-invasive characterization of hepatic steatosis by analyzing the spectral region around 930 nm, where lipids characteristically absorb. In a pilot study, we apply MSOT to measure liver and surrounding tissues in five patients with liver steatosis and five healthy volunteers, revealing significantly higher absorptions at 930 nm in the patients, while no significant difference was observed in the subcutaneous adipose tissue of the two groups. We further corroborated the human observations with corresponding MSOT measurements in high fat diet (HFD) - and regular chow diet (CD)-fed mice. This study introduces MSOT as a potential non-invasive and portable technique for detecting/monitoring hepatic steatosis in clinical settings, providing justification for larger studies.
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Affiliation(s)
- Nikolina-Alexia Fasoula
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Angelos Karlas
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner Site Munich Heart Alliance, Munich, Germany
| | - Olga Prokopchuk
- Department of Visceral Surgery, Klinikum rechts der Isar, Munich, Germany
| | - Nikoletta Katsouli
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michail Bariotakis
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Evangelos Liapis
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Anna Goetz
- Institute for Diabetes and Regeneration Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Josefine Reber
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Alexander Novotny
- Department of Visceral Surgery, Klinikum rechts der Isar, Munich, Germany
| | - Helmut Friess
- Department of Visceral Surgery, Klinikum rechts der Isar, Munich, Germany
| | - Marc Ringelhan
- Department of Internal Medicine II, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Roland Schmid
- Department of Internal Medicine II, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner Site Munich Heart Alliance, Munich, Germany
| | - Susanna Hofmann
- Institute for Diabetes and Regeneration Research, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Internal Medicine IV, Klinikum der Ludwig Maximilian University of Munich, Munich, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), partner Site Munich Heart Alliance, Munich, Germany
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6
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Wei H, Luan Y, Pan D. All-in-one portable microsystem for on-site electrochemical determination of phosphate in turbid coastal waters. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Windra Sari A, Widyaningrum R, yana M. Photoacoustic Imaging for Periodontal Disease Examination. J Lasers Med Sci 2022; 13:e37. [PMID: 36743133 PMCID: PMC9841387 DOI: 10.34172/jlms.2022.37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 08/11/2022] [Indexed: 01/27/2023]
Abstract
Introduction: After caries, periodontal tissue inflammation (periodontitis) is the most common oral health problem. Photoacoustic imaging (PAI) is a new technique that uses simple components such as a diode laser and a condenser microphone. This study aimed to evaluate the performance of a simple PAI system in periodontal disease imaging by using an animal model. Methods: Normal periodontal and periodontitis tissues were obtained from Sprague-Dawley rats categorized as the control group, treatment group 1 (7 days of periodontitis induction), treatment group 2 (11 days of periodontitis induction), and treatment group 3 (14 days of periodontitis induction). The PAI system was controlled by LabVIEW and Arduino IDE software from a personal computer. Results: Results revealed that the optimal frequency of laser modulation for periodontal tissue imaging was 19 kHz with a duty cycle of 50%. The photoacoustic (PA) intensity of periodontal tissues was -68.71 dB for treatment group 3, -70.34 dB for treatment group 2, -71.69 dB for treatment group 1, and --73.07 dB for the control group. PA image analysis showed that the PA intensity from periodontal disease groups was higher than the control group. Conclusion: This study indicates the feasibility of using a simple PAI system to differentiate normal periodontal tissues from periodontitis tissues.
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Affiliation(s)
- Atika Windra Sari
- Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Yogyakarta, Indonesia
| | - Rini Widyaningrum
- Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Universitas Gadjah Mada, Jl. Denta, Sekip Utara, Yogyakarta, Indonesia,Correspondence to Rini Widyaningrum,
| | - Mitra yana
- Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Yogyakarta, Indonesia,Correspondence to Rini Widyaningrum,
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Xie W, Feng T, Yu D, Ta D, Cheng L, Cheng Q. Photoacoustic characterization of bone physico-chemical information. BIOMEDICAL OPTICS EXPRESS 2022; 13:2668-2681. [PMID: 35774314 PMCID: PMC9203098 DOI: 10.1364/boe.457278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 03/27/2022] [Accepted: 03/28/2022] [Indexed: 06/15/2023]
Abstract
Osteoporosis usually alters the chemical composition and physical microstructure of bone. Currently, most clinical techniques for bone assessment are focused on the either bone microstructure or bone mineral density (BMD). In this study, a novel multi-wavelength photoacoustic time-frequency spectral analysis (MWPA-TFSA) method was introduced based on the optical absorption spectra and photoacoustic effects of biological macromolecules, which evaluates changes in bone chemical composition and microstructure. The results demonstrated that osteoporotic bones had decreased BMD, more lipids, and wider trabecular separation filled with larger marrow clusters, which were consistent with multiple gold-standard results, suggesting that the MWPA-TFSA method has the potential to provide a thorough bone physico-chemical information evaluation noninvasively and nonradiatively.
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Affiliation(s)
- Weiya Xie
- Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China
- The Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education; Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- These authors contributed equally to this paper
| | - Ting Feng
- Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
- These authors contributed equally to this paper
| | - Dong Yu
- Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China
| | - Dean Ta
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Liming Cheng
- The Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education; Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qian Cheng
- Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, China
- The Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education; Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China
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9
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Kirchner T, Jaeger M, Frenz M. Machine learning enabled multiple illumination quantitative optoacoustic oximetry imaging in humans. BIOMEDICAL OPTICS EXPRESS 2022; 13:2655-2667. [PMID: 35774340 PMCID: PMC9203099 DOI: 10.1364/boe.455514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/25/2022] [Accepted: 03/26/2022] [Indexed: 06/15/2023]
Abstract
Optoacoustic (OA) imaging is a promising modality for quantifying blood oxygen saturation (sO2) in various biomedical applications - in diagnosis, monitoring of organ function, or even tumor treatment planning. We present an accurate and practically feasible real-time capable method for quantitative imaging of sO2 based on combining multispectral (MS) and multiple illumination (MI) OA imaging with learned spectral decoloring (LSD). For this purpose we developed a hybrid real-time MI MS OA imaging setup with ultrasound (US) imaging capability; we trained gradient boosting machines on MI spectrally colored absorbed energy spectra generated by generic Monte Carlo simulations and used the trained models to estimate sO2 on real OA measurements. We validated MI-LSD in silico and on in vivo image sequences of radial arteries and accompanying veins of five healthy human volunteers. We compared the performance of the method to prior LSD work and conventional linear unmixing. MI-LSD provided highly accurate results in silico and consistently plausible results in vivo. This preliminary study shows a potentially high applicability of quantitative OA oximetry imaging, using our method.
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Affiliation(s)
- Thomas Kirchner
- Institut für Physik, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany
- Biomedical Photonics, Institute of Applied Physics, University of Bern, Bern, Switzerland
| | - Michael Jaeger
- Biomedical Photonics, Institute of Applied Physics, University of Bern, Bern, Switzerland
| | - Martin Frenz
- Biomedical Photonics, Institute of Applied Physics, University of Bern, Bern, Switzerland
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10
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Kang J, Koehler RC, Graham EM, Boctor EM. Photoacoustic assessment of the fetal brain and placenta as a method of non-invasive antepartum and intrapartum monitoring. Exp Neurol 2022; 347:113898. [PMID: 34662542 PMCID: PMC8756814 DOI: 10.1016/j.expneurol.2021.113898] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 11/21/2022]
Abstract
A noninvasive monitor for concurrent evaluation of placental and fetal sagittal sinus sO 2 for both antepartum surveillance at the late 2nd and 3rd trimesters and intrapartum monitoring would be a great advantage over current methods. A PA fetal brain and placental monitor has potential value to rapidly identify the fetus at risk for developing hypoxia and ischemia of a sufficient degree that brain injury or death may develop, which may be prevented by intervention with delivery and other follow-up treatments.
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Affiliation(s)
- Jeeun Kang
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Raymond C Koehler
- Department of Anesthesia and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Ernest M Graham
- Department of Gyn-Ob, Division of Maternal-Fetal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Neuroscience Intensive Care Nursery Program, Johns Hopkins University School of Medicine; Baltimore, MD, United States of America.
| | - Emad M Boctor
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
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11
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Feng T, Ge Y, Xie Y, Xie W, Liu C, Li L, Ta D, Jiang Q, Cheng Q. Detection of collagen by multi-wavelength photoacoustic analysis as a biomarker for bone health assessment. PHOTOACOUSTICS 2021; 24:100296. [PMID: 34522607 PMCID: PMC8426564 DOI: 10.1016/j.pacs.2021.100296] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 08/06/2021] [Accepted: 08/24/2021] [Indexed: 05/26/2023]
Abstract
Collagen is an important biomarker of osteoporosis progression. Noninvasive, multispectral, photoacoustic (PA) techniques use pulsed laser light to induce PA signals to facilitate the visualization of chemical components that are strongly related to tissue health. In this study, the feasibility of multi-wavelength PA (MWPA) measurement of the collagen in bone, using the wavelength range of 1300-1800 nm, was investigated. First, the feasibility of this approach for detecting the collagen content of bone was demonstrated by means of numerical simulation. Then, ex vivo experiments were conducted on both animal and human bone specimens with different bone densities using the MWPA method. The relative collagen content was extracted and compared with the results of micro-computed tomography (micro-CT) and histology. The results showed that the "relative collagen content" parameter obtained using the MWPA approach correlated well with the bone volume ratio obtained from micro-CT images and histological analysis results. This study highlights the potential of the proposed PA technique for determining the collagen content of bones as a biomarker for bone health assessment.
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Affiliation(s)
- Ting Feng
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Yuxiang Ge
- Department of Sports Medicine and Adult Reconstructive Surgery, Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing 210008, Jiangsu, China
- Department of Orthopedic Surgery, Minhang Hospital, Fudan University, Shanghai, 201100, China
| | - Yejing Xie
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Weiya Xie
- Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
| | - Chengcheng Liu
- Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China
| | - Lan Li
- Department of Sports Medicine and Adult Reconstructive Surgery, Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing 210008, Jiangsu, China
| | - Dean Ta
- Department of Electronic Engineering, Fudan University, Shanghai 200433, China
| | - Qing Jiang
- Department of Sports Medicine and Adult Reconstructive Surgery, Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing 210008, Jiangsu, China
| | - Qian Cheng
- Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- The Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China
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Wei H, Pan D, Zhou Z, Han H, Zhu R. On-site electrochemical determination of phosphate with high sensitivity and anti-interference ability in turbid coastal waters. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 221:112444. [PMID: 34174734 DOI: 10.1016/j.ecoenv.2021.112444] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 06/15/2021] [Accepted: 06/19/2021] [Indexed: 06/13/2023]
Abstract
Phosphate is considered to be an important biogenic element and responsible for eutrophication in aquatic ecosystems, existing in both dissolved and absorbed forms. Due to the complex matrix of coastal seawater, a high sensitivity and anti-interference method for phosphate detection is required for environmental protection. In this study, a novel electrochemical method was proposed based on reduced graphene oxide-ordered mesoporous carbon screen-printed electrode (rGO-OMC/SPE) analysis, allowing sensitivity and reliable determination of phosphate in turbid coastal waters. Combining the good absorption capacity of OMC with the excellent electroconductivity of rGO, the fabricated electrode exhibits improved signal responses, enhanced by up to 43-fold. The platform was evaluated using turbidity interference test with good recovery percentages comprised between 96% and 105% in different phosphate concentration, and salinity interference test between 92% and 105%, respectively. A linear range from 0.2 to 150 μM phosphate was achieved, with a detection limit of 0.05 μM (s/n = 3). The fabricated platform was successfully used for on-site analysis of phosphate in turbid coastal waters. This reliable and effective method for the analysis of phosphate in turbid coastal waters allows for sensitivity and anti-interference determination, while also representing a significant step towards comprehensive and convenient analysis of phosphorus species.
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Affiliation(s)
- Hong Wei
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Dawei Pan
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
| | - Zhengwen Zhou
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Haitao Han
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, PR China
| | - Rilong Zhu
- College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, PR China.
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Feng T, Zhu Y, Morris R, kozloff KM, Wang X. The feasibility study of the transmission mode photoacoustic measurement of human calcaneus bone in vivo. PHOTOACOUSTICS 2021; 23:100273. [PMID: 34745881 PMCID: PMC8552339 DOI: 10.1016/j.pacs.2021.100273] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 05/04/2021] [Accepted: 05/12/2021] [Indexed: 05/26/2023]
Abstract
The photoacoustic (PA) technique is uniquely positioned for biomedical applications primarily due to its ability to visualize optical absorption contrast in deep tissue at ultrasound resolution. In this work, via both three-dimensional (3D) numerical simulations and in vivo experiments on human subjects, we investigated the possibility of PA measurement of human calcaneus bones in vivo in a non-invasive manner, as well as its feasibility to differentiate osteoporosis patients from normal subjects. The results from the simulations and the experiments both demonstrated that, when one side of the heel is illuminated by laser with light fluence under the ANSI safety limit, the PA signal generated in the human calcaneus bone can be detected by an ultrasonic transducer at the other side of the heel (i.e. transmission mode). Quantitative power spectral analyses of the calcaneus bone PA signals were also conducted, demonstrating that the microarchitectural changes in calcaneus bone due to osteoporosis can be detected, as reflected by enhanced high frequency components in detected PA bone signal. Further statistical analysis of the experimental results from 10 osteoporosis patients and 10 healthy volunteers showed that the weighted frequency as a quantified PA spectral parameter can differentiate the two subject groups with statistical significance.
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Affiliation(s)
- Ting Feng
- Department of Biomedical Engineering, University of Michigan Medical School, MI 48109, USA
| | - Yunhao Zhu
- Department of Biomedical Engineering, University of Michigan Medical School, MI 48109, USA
| | | | - Kenneth M. kozloff
- Department of Biomedical Engineering, University of Michigan Medical School, MI 48109, USA
- Department of Orthopaedic Surgery, University of Michigan Medical School, MI 48109, USA
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan Medical School, MI 48109, USA
- Department of Radiology, University of Michigan Medical School, MI 48109, USA
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Kirchner T, Frenz M. Multiple illumination learned spectral decoloring for quantitative optoacoustic oximetry imaging. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210069RR. [PMID: 34350736 PMCID: PMC8336722 DOI: 10.1117/1.jbo.26.8.085001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/16/2021] [Indexed: 06/13/2023]
Abstract
SIGNIFICANCE Quantitative measurement of blood oxygen saturation (sO2) with optoacoustic (OA) imaging is one of the most sought after goals of quantitative OA imaging research due to its wide range of biomedical applications. AIM A method for accurate and applicable real-time quantification of local sO2 with OA imaging. APPROACH We combine multiple illumination (MI) sensing with learned spectral decoloring (LSD). We train LSD feedforward neural networks and random forests on Monte Carlo simulations of spectrally colored absorbed energy spectra, to apply the trained models to real OA measurements. We validate our combined MI-LSD method on a highly reliable, reproducible, and easily scalable phantom model, based on copper and nickel sulfate solutions. RESULTS With this sulfate model, we see a consistently high estimation accuracy using MI-LSD, with median absolute estimation errors of 2.5 to 4.5 percentage points. We further find fewer outliers in MI-LSD estimates compared with LSD. Random forest regressors outperform previously reported neural network approaches. CONCLUSIONS Random forest-based MI-LSD is a promising method for accurate quantitative OA oximetry imaging.
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Affiliation(s)
- Thomas Kirchner
- University of Bern, Biomedical Photonics, Institute of Applied Physics, Bern, Switzerland
| | - Martin Frenz
- University of Bern, Biomedical Photonics, Institute of Applied Physics, Bern, Switzerland
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Li M, Nyayapathi N, Kilian HI, Xia J, Lovell JF, Yao J. Sound Out the Deep Colors: Photoacoustic Molecular Imaging at New Depths. Mol Imaging 2020; 19:1536012120981518. [PMID: 33336621 PMCID: PMC7750763 DOI: 10.1177/1536012120981518] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Photoacoustic tomography (PAT) has become increasingly popular for molecular imaging due to its unique optical absorption contrast, high spatial resolution, deep imaging depth, and high imaging speed. Yet, the strong optical attenuation of biological tissues has traditionally prevented PAT from penetrating more than a few centimeters and limited its application for studying deeply seated targets. A variety of PAT technologies have been developed to extend the imaging depth, including employing deep-penetrating microwaves and X-ray photons as excitation sources, delivering the light to the inside of the organ, reshaping the light wavefront to better focus into scattering medium, as well as improving the sensitivity of ultrasonic transducers. At the same time, novel optical fluence mapping algorithms and image reconstruction methods have been developed to improve the quantitative accuracy of PAT, which is crucial to recover weak molecular signals at larger depths. The development of highly-absorbing near-infrared PA molecular probes has also flourished to provide high sensitivity and specificity in studying cellular processes. This review aims to introduce the recent developments in deep PA molecular imaging, including novel imaging systems, image processing methods and molecular probes, as well as their representative biomedical applications. Existing challenges and future directions are also discussed.
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Affiliation(s)
- Mucong Li
- Department of Biomedical Engineering, 3065Duke University, Durham, NC, USA
| | - Nikhila Nyayapathi
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Hailey I Kilian
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Jun Xia
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Jonathan F Lovell
- Department of Biomedical Engineering, 12292University of Buffalo, NY, USA
| | - Junjie Yao
- Department of Biomedical Engineering, 3065Duke University, Durham, NC, USA
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