Biomed Eng Lett.  2018 May;8(2):139-155. 10.1007/13534-018-0062-7.

Clinical photoacoustic imaging platforms

Affiliations
  • 1Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, Republic of Korea. chulhong@postech.edu
  • 2Department of Creative IT Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, Republic of Korea.

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.

Keyword

Photoacoustics; Optoacoustics; Medical imaging; Clinical systems; Ultrasound array transducer

MeSH Terms

Acoustics
Complement System Proteins
Diagnostic Imaging
Oxygen
Pathology
Patient Care
Transducers
Translating
Complement System Proteins
Oxygen
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