Clinical photoacoustic imaging platforms
Photoacoustic imaging (PAI) is a new promising medical imaging technology available for diagnosing and assessing various pathologies. PAI complements existing imaging modalities by providing information not currently available for diagnosing, e.g., oxygenation level of the underlying tissue. Current...
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Published in | Biomedical engineering letters Vol. 8; no. 2; pp. 139 - 155 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Korea
The Korean Society of Medical and Biological Engineering
01.05.2018
Springer Nature B.V 대한의용생체공학회 |
Subjects | |
Online Access | Get full text |
ISSN | 2093-9868 2093-985X 2093-985X |
DOI | 10.1007/s13534-018-0062-7 |
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Summary: | Photoacoustic imaging (PAI) is a new promising medical imaging technology available for diagnosing and assessing various pathologies. PAI complements existing imaging modalities by providing information not currently available for diagnosing, e.g., oxygenation level of the underlying tissue. Currently, researchers are translating PAI from benchside to bedside to make unique clinical advantages of PAI available for patient care. The requirements for a successful clinical PAI system are; deeper imaging depth, wider field of view, and faster scan time than the laboratory-level PAI systems. Currently, many research groups and companies are developing novel technologies for data acquisition/signal processing systems, detector geometry, and an acoustic sensor. In this review, we summarize state-of-the-art clinical PAI systems with three types of the imaging transducers: linear array transducer, curved linear array transducer, and volumetric array transducer. We will also discuss the limitations of the current PAI systems and describe latest techniques being developed to address these for further enhancing the image quality of PAI for successful clinical translation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 |
ISSN: | 2093-9868 2093-985X 2093-985X |
DOI: | 10.1007/s13534-018-0062-7 |