Open Access
18 September 2019 Ring-array photoacoustic tomography for imaging human finger vasculature
Misaki Nishiyama, Takeshi Namita, Kengo Kondo, Makoto Yamakawa, Tsuyoshi Shiina
Author Affiliations +
Abstract

For early diagnosis of rheumatoid arthritis (RA), it is important to visualize its potential marker, vascularization in the synovial membrane of the finger joints. Photoacoustic (PA) imaging, which can image blood vessels at high contrast and resolution, is expected to be a potential modality for earlier diagnosis of RA. In previous studies of PA finger imaging, different acoustic schemes, such as linear-shaped arrays, have been utilized, but these have limited detection views, rendering inaccurate reconstruction, and most of them require rotational detection. We are developing a PA system for finger vascular imaging using a ring-shaped array ultrasound (US) transducer. By designing the ring-array sensor based on simulations, using phantom experiments, it was demonstrated that we have created a system that can image small objects around 0.1 to 0.5 mm in diameter. The full width at half maximum of the slice direction of the system was within 2 mm and corresponded to that of the simulation. Moreover, we could clearly visualize healthy index finger vasculature and the location of the distal interphalangeal and proximal interphalangeal joints by PA and US echo images. In the future, this system could be used as a method for visualizing the three-dimensional vascularization of RA patients’ fingers.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Misaki Nishiyama, Takeshi Namita, Kengo Kondo, Makoto Yamakawa, and Tsuyoshi Shiina "Ring-array photoacoustic tomography for imaging human finger vasculature," Journal of Biomedical Optics 24(9), 096005 (18 September 2019). https://doi.org/10.1117/1.JBO.24.9.096005
Received: 15 June 2019; Accepted: 20 August 2019; Published: 18 September 2019
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CITATIONS
Cited by 26 scholarly publications.
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KEYWORDS
Sensors

Blood vessels

Imaging systems

Visualization

Photoacoustic imaging

Acoustics

Bone

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