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Chang KW, Karthikesh MS, Zhu Y, Hudson HM, Barbay S, Bundy D, Guggenmos DJ, Frost S, Nudo RJ, Wang X, Yang X. Photoacoustic imaging of squirrel monkey cortical responses induced by peripheral mechanical stimulation. JOURNAL OF BIOPHOTONICS 2024; 17:e202300347. [PMID: 38171947 PMCID: PMC10961203 DOI: 10.1002/jbio.202300347] [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: 08/28/2023] [Revised: 11/08/2023] [Accepted: 11/29/2023] [Indexed: 01/05/2024]
Abstract
Non-human primates (NHPs) are crucial models for studies of neuronal activity. Emerging photoacoustic imaging modalities offer excellent tools for studying NHP brains with high sensitivity and high spatial resolution. In this research, a photoacoustic microscopy (PAM) device was used to provide a label-free quantitative characterization of cerebral hemodynamic changes due to peripheral mechanical stimulation. A 5 × 5 mm area within the somatosensory cortex region of an adult squirrel monkey was imaged. A deep, fully connected neural network was characterized and applied to the PAM images of the cortex to enhance the vessel structures after mechanical stimulation on the forelimb digits. The quality of the PAM images was improved significantly with a neural network while preserving the hemodynamic responses. The functional responses to the mechanical stimulation were characterized based on the improved PAM images. This study demonstrates capability of PAM combined with machine learning for functional imaging of the NHP brain.
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Affiliation(s)
- Kai-Wei Chang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | | | - Yunhao Zhu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Heather M. Hudson
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Scott Barbay
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - David Bundy
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - David J. Guggenmos
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Shawn Frost
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Randolph J. Nudo
- Landon Center on Aging, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
- Department of Rehabilitation Medicine, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Xinmai Yang
- Bioengineering Graduate Program and Institute for Bioengineering Research, University of Kansas, Lawrence, Kansas, 66045, United States
- Department of Mechanical Engineering, University of Kansas, Lawrence, Kansas, 66045, United States
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Sarkar M, Perez-Liva M, Renault G, Tavitian B, Gateau J. Motion Rejection and Spectral Unmixing for Accurate Estimation of In Vivo Oxygen Saturation Using Multispectral Optoacoustic Tomography. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 70:1671-1681. [PMID: 37603493 DOI: 10.1109/tuffc.2023.3306592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Multispectral optoacoustic tomography (MSOT) uniquely enables spatial mapping in high resolution of oxygen saturation (SO2), with potential applications in studying pathological complications and therapy efficacy. MSOT offers seamless integration with ultrasonography, by using a common ultrasound (US) detector array. However, MSOT relies on multiple successive acquisitions of optoacoustic (OA) images at different optical wavelengths and the low frame rate of OA imaging makes the MSOT acquisition sensitive to body/respiratory motion. Moreover, the estimation of SO2 is highly sensitive to noise, and artifacts related to the respiratory motion of the animal were identified as the primary source of noise in MSOT. In this work, we propose a two-step image processing method for SO2 estimation in deep tissues. First, to mitigate motion artifacts, we propose a method of selection of OA images acquired only during the respiratory pause of the animal, using ultrafast ultrasound (US) images acquired immediately after each OA acquisition (US image acquisition duration of 1.4 ms and a total delay of 7 ms). We show that gating is more effective using US images than OA images at different optical wavelengths. Second, we propose a novel method that can estimate directly the SO2 value of a pixel and at the same time evaluate the amount of noise present in that pixel. Hence, the method can efficiently eliminate the pixels dominated by noise from the final SO2 map. Our postprocessing method is shown to outperform conventional methods for SO2 estimation, and the method was validated by in vivo oxygen challenge experiments.
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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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Yoon C, Lee C, Shin K, Kim C. Motion Compensation for 3D Multispectral Handheld Photoacoustic Imaging. BIOSENSORS 2022; 12:1092. [PMID: 36551059 PMCID: PMC9775698 DOI: 10.3390/bios12121092] [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: 11/04/2022] [Revised: 11/26/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Three-dimensional (3D) handheld photoacoustic (PA) and ultrasound (US) imaging performed using mechanical scanning are more useful than conventional 2D PA/US imaging for obtaining local volumetric information and reducing operator dependence. In particular, 3D multispectral PA imaging can capture vital functional information, such as hemoglobin concentrations and hemoglobin oxygen saturation (sO2), of epidermal, hemorrhagic, ischemic, and cancerous diseases. However, the accuracy of PA morphology and physiological parameters is hampered by motion artifacts during image acquisition. The aim of this paper is to apply appropriate correction to remove the effect of such motion artifacts. We propose a new motion compensation method that corrects PA images in both axial and lateral directions based on structural US information. 3D PA/US imaging experiments are performed on a tissue-mimicking phantom and a human wrist to verify the effects of the proposed motion compensation mechanism and the consequent spectral unmixing results. The structural motions and sO2 values are confirmed to be successfully corrected by comparing the motion-compensated images with the original images. The proposed method is expected to be useful in various clinical PA imaging applications (e.g., breast cancer, thyroid cancer, and carotid artery disease) that are susceptible to motion contamination during multispectral PA image analysis.
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Affiliation(s)
- Chiho Yoon
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Changyeop Lee
- Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | | | - Chulhong Kim
- Departments of Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering, Medical Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
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Dimaridis I, Sridharan P, Ntziachristos V, Karlas A, Hadjileontiadis L. Image Quality Improvement Techniques and Assessment Adequacy in Clinical Optoacoustic Imaging: A Systematic Review. BIOSENSORS 2022; 12:901. [PMID: 36291038 PMCID: PMC9599915 DOI: 10.3390/bios12100901] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/09/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
Optoacoustic imaging relies on the detection of optically induced acoustic waves to offer new possibilities in morphological and functional imaging. As the modality matures towards clinical application, research efforts aim to address multifactorial limitations that negatively impact the resulting image quality. In an endeavor to obtain a clear view on the limitations and their effects, as well as the status of this progressive refinement process, we conduct an extensive search for optoacoustic image quality improvement approaches that have been evaluated with humans in vivo, thus focusing on clinically relevant outcomes. We query six databases (PubMed, Scopus, Web of Science, IEEE Xplore, ACM Digital Library, and Google Scholar) for articles published from 1 January 2010 to 31 October 2021, and identify 45 relevant research works through a systematic screening process. We review the identified approaches, describing their primary objectives, targeted limitations, and key technical implementation details. Moreover, considering comprehensive and objective quality assessment as an essential prerequisite for the adoption of such approaches in clinical practice, we subject 36 of the 45 papers to a further in-depth analysis of the reported quality evaluation procedures, and elicit a set of criteria with the intent to capture key evaluation aspects. Through a comparative criteria-wise rating process, we seek research efforts that exhibit excellence in quality assessment of their proposed methods, and discuss features that distinguish them from works with similar objectives. Additionally, informed by the rating results, we highlight areas with improvement potential, and extract recommendations for designing quality assessment pipelines capable of providing rich evidence.
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Affiliation(s)
- Ioannis Dimaridis
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Patmaa Sridharan
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 80992 Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany
| | - Angelos Karlas
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany
- Clinic for Vascular and Endovascular Surgery, Klinikum rechts der Isar, 81675 Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Signal Processing and Biomedical Technology Unit, Telecommunications Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Wang B, Xie Y, He X, Jiang J, Xiao J, Chen Z. Transient triplet differential-based photoacoustic lifetime imaging with an automatic interleaved data acquisition method for improved scanning speed and stability. OPTICS EXPRESS 2022; 30:39129-39141. [PMID: 36258460 DOI: 10.1364/oe.472132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Transient triplet differential (TTD) based photoacoustic lifetime (PALT) imaging provides valuable means for background-free molecular imaging and mapping of the oxygen partial pressure (pO2) in deep tissues. However, the broad application of this method is hindered by its long scanning time, poor accuracy, and low stability. This is mainly because most PALT systems execute the three data acquisition sequences separately without automatic control and neglect the long-time fluctuation of the laser output. In this work, we have proposed a novel automatic interleaved data acquisition method for PALT. This new method not only improved the scanning efficiency but also eliminated the long-time fluctuations of laser pulse energy. Results show that this new method can significantly improve the system's stability and help reduce the scanning time. With this new method, we obtained the 3D background-free TTD images for the first time. We also observed distinct hypoxia inside the tumor due to the high metabolic rate of cancer cells, demonstrating the high reliability of our proposed method. The proposed method in this work can significantly promote the application of PALT imaging in biomedical studies.
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Ren Y, Zhang Y, He H, Liu L, Wu X, Song L, Liu C. Optical fiber-based handheld polarized photoacoustic computed tomography for detecting anisotropy of tissues. Quant Imaging Med Surg 2022; 12:2238-2246. [PMID: 35371963 PMCID: PMC8923867 DOI: 10.21037/qims-21-658] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 12/14/2021] [Indexed: 01/26/2024]
Abstract
BACKGROUND Photoacoustic computed tomography (PACT) is a fast-developing biomedical imaging modality and has immense potential for clinical translation. It utilizes laser excitation and acoustic detection to achieve high spatial resolution and considerable imaging depth in biological tissues. Current PACT primarily treats the absorption coefficient of tissues as a scalar variable while reconstructing the image, which limits its use for anisotropic evaluation of the tissues. Thus, by incorporating polarized imaging methods to evaluate anisotropy, applications of PACT can be further enhanced. So far, dichroism-sensitive PACT has been suggested for polarization detection of biological tissues. However, this approach is unsuitable for intraoperative imaging, since high-power spatial light is needed for excitation, which is dangerous and inconvenient to operate. Thus, there is a need to develop a polarized PACT system suitable for clinical use. METHODS Herein, we have proposed a specially designed handheld polarized PACT (HP-PACT) system, which was designed to promote intraoperative anisotropy detection of biological tissues. Excitation light was delivered by an optical fiber and reshaped by a compact set of lenses at the output end of the optical fiber. A polarizer was applied to generate linearly polarized light, and the polarization direction was adjusted by simply rotating the half-wave plate. Photoacoustic imaging (PAI) using excitation with several different polarization directions was carried out. Optical axes and the structure of the anisotropic objects were obtained using the principle of polarization detection with the PAI. RESULTS We experimentally demonstrated the performance of HP-PACT by imaging both the polarized and unpolarized plastic films. The results showed that HP-PACT can successfully detect the direction of the optical axes of polarized plastic films and has the ability to image at different depths. When linearly polarized light with different polarization directions was used as excitation, PAI studies on a highly anisotropic bovine tendon and relatively low anisotropic mouse leg showed the structural differences between the 2 tissues. The quantified degrees of anisotropy of the bovine tendon and mouse legs were 0.6 and 0.3, respectively. CONCLUSIONS The proposed HP-PACT is able to determine the anisotropic substances' optical axes and distinguish anisotropic substances from isotropic ones. Thus, HP-PACT has the potential for intraoperative diagnosis and treatment of anisotropic tissues, including nerves and tendons.
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Affiliation(s)
- Yaguang Ren
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ying Zhang
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi’an, China
| | - Honghui He
- Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of Optical Imaging and Sensing, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Liangjian Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xiaojun Wu
- School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi’an, China
| | - Liang Song
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chengbo Liu
- Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Stridh MT, Hult J, Merdasa A, Albinsson J, Pekar-Lukacs A, Gesslein B, Dahlstrand U, Engelsberg K, Berggren J, Cinthio M, Sheikh R, Malmsjö M. Photoacoustic imaging of periorbital skin cancer ex vivo: unique spectral signatures of malignant melanoma, basal, and squamous cell carcinoma. BIOMEDICAL OPTICS EXPRESS 2022; 13:410-425. [PMID: 35154881 PMCID: PMC8803040 DOI: 10.1364/boe.443699] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 06/14/2023]
Abstract
Radical excision of periorbital skin tumors is difficult without sacrificing excessive healthy tissue. Photoacoustic (PA) imaging is an emerging non-invasive biomedical imagi--ng modality that has potential for intraoperative micrographic control of surgical margins. This is the first study to assess the feasibility of PA imaging for the detection of periocular skin cancer. Eleven patients underwent surgical excision of periocular skin cancer, one of which was a malignant melanoma (MM), eight were basal cell carcinomas (BCCs), and two squamous cell carcinomas (SCCs). Six tumors were located in the eyelid, and five in periocular skin. The excised samples, as well as healthy eyelid samples, were scanned with PA imaging postoperatively, using 59 wavelengths in the range 680-970 nm, to generate 3D multispectral images. Spectral unmixing was performed using endmember spectra for oxygenated and deoxygenated Hb, melanin, and collagen, to iden--tify the chromophore composition of tumors and healthy eyelid tissue. After PA scanning, the tumor samples were examined histopathologically using standard hematoxylin and eosin staining. The PA spectra of healthy eyelid tissue were dominated by melanin in the skin, oxygenated and deoxygenated hemoglobin in the orbicularis oculi muscle, and collagen in the tarsal plate. Multiwavelength 3D scanning provided spectral information on the three tumor types. The spectrum from the MM was primarily reconstructed by the endmember melanin, while the SCCs showed contributions primarily from melanin, but also HbR and collagen. BCCs showed contributions from all four endmembers with a predominance of HbO2 and HbR. PA imaging may be used to distinguish different kinds of periocular skin tumors, paving the way for future intraoperative micrographic control.
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Affiliation(s)
- Magne Tordengren Stridh
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Jenny Hult
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Aboma Merdasa
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - John Albinsson
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | | | - Bodil Gesslein
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Ulf Dahlstrand
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Karl Engelsberg
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Johanna Berggren
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Magnus Cinthio
- Department of Biomedical Engineering,
Faculty of Engineering, Lund University,
Sweden
| | - Rafi Sheikh
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
| | - Malin Malmsjö
- Ophthalmology, Department of Clinical
Sciences Lund, Lund University, Skåne University
Hospital, Lund, Sweden
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Hult J, Merdasa A, Pekar-Lukacs A, Tordengren Stridh M, Khodaverdi A, Albinsson J, Gesslein B, Dahlstrand U, Engqvist L, Hamid Y, Larsson Albèr D, Persson B, Erlöv T, Sheikh R, Cinthio M, Malmsjö M. Comparison of photoacoustic imaging and histopathological examination in determining the dimensions of 52 human melanomas and nevi ex vivo. BIOMEDICAL OPTICS EXPRESS 2021; 12:4097-4114. [PMID: 34457401 PMCID: PMC8367235 DOI: 10.1364/boe.425524] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/23/2021] [Accepted: 04/23/2021] [Indexed: 05/21/2023]
Abstract
Surgical excision followed by histopathological examination is the gold standard for the diagnosis and staging of melanoma. Reoperations and unnecessary removal of healthy tissue could be reduced if non-invasive imaging techniques were available for presurgical tumor delineation. However, no technique has gained widespread clinical use to date due to shallow imaging depth or the absence of functional imaging capability. Photoacoustic (PA) imaging is a novel technology that combines the strengths of optical and ultrasound imaging to reveal the molecular composition of tissue at high resolution. Encouraging results have been obtained from previous animal and human studies on melanoma, but there is still a lack of clinical data. This is the largest study of its kind to date, including 52 melanomas and nevi. 3D multiwavelength PA scanning was performed ex vivo, using 59 excitation wavelengths from 680 nm to 970 nm. Spectral unmixing over this broad wavelength range, accounting for the absorption of several tissue chromophores, provided excellent contrast between healthy tissue and tumor. Combining the results of spectral analysis with spatially resolved information provided a map of the tumor borders in greater detail than previously reported. The tumor dimensions determined with PA imaging were strongly correlated with those determined by histopathological examination for both melanomas and nevi.
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Affiliation(s)
- Jenny Hult
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Aboma Merdasa
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | | | - Magne Tordengren Stridh
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Azin Khodaverdi
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Sweden
| | - John Albinsson
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Bodil Gesslein
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Ulf Dahlstrand
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Linn Engqvist
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Yousef Hamid
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Douglas Larsson Albèr
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Bertil Persson
- Department of Dermatology, Skåne University Hospital, Lund, Sweden
| | - Tobias Erlöv
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Sweden
| | - Rafi Sheikh
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Magnus Cinthio
- Department of Biomedical Engineering, Faculty of Engineering, Lund University, Sweden
| | - Malin Malmsjö
- Department of Clinical Sciences Lund, Ophthalmology, Lund University and Skåne University Hospital, Lund, Sweden
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Xia J, Lediju Bell MA, Laufer J, Yao J. Translational Photoacoustic Imaging for Disease Diagnosis, Monitoring, and Surgical Guidance: introduction to the feature issue. BIOMEDICAL OPTICS EXPRESS 2021; 12:4115-4118. [PMID: 34457402 PMCID: PMC8367276 DOI: 10.1364/boe.430421] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Indexed: 05/10/2023]
Abstract
This feature issue of Biomedical Optics Express covered all aspects of translational photoacoustic research. Application areas include screening and diagnosis of diseases, imaging of disease progression and therapeutic response, and image-guided treatment, such as surgery, drug delivery, and photothermal/photodynamic therapy. The feature issue also covers relevant developments in photoacoustic instrumentation, contrast agents, image processing and reconstruction algorithms.
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Affiliation(s)
- Jun Xia
- Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA
| | - Muyinatu A. Lediju Bell
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jan Laufer
- Institut für Physik, Martin-Luther-Universität Halle-Wittenberg, von-Danckelmann-Platz 3, 06120 Halle (Saale), Germany
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
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