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Clinical photoacoustic imaging platforms

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Abstract

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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Acknowledgements

This research was supported by the ICT Consilience Creative program (IITP-2017-R0346-16-1007) supervised by the Institute for Information & communications Technology Promotion (IITP) and funded by the Ministry of Science and ICT (MSIT), Republic of Korea, a Grant of the Korea Health Technology R&D Project (HI15-C1817) through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea, the Pioneer Research Center Program (2017M3C1A3037762) through the National Research Foundation (NRF) funded by the MSIT, and the NRF Global Ph.D. Fellowship Program of the Ministry of Education (NRF-2014H1A2A1019589).

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  1. Wonseok Choi, Eun-Yeong Park and Seungwan Jeon have contributed equally to this work.

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  1. Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, Republic of Korea

    Wonseok Choi, Eun-Yeong Park & Chulhong Kim

  2. Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, Republic of Korea

    Seungwan Jeon & Chulhong Kim

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  1. Wonseok Choi
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Choi, W., Park, EY., Jeon, S. et al. Clinical photoacoustic imaging platforms. Biomed. Eng. Lett. 8, 139–155 (2018). https://doi.org/10.1007/s13534-018-0062-7

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