Raspberry Pi-based Low-cost Portable Optical Coherence Tomography to Deliver Health Care Services

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초록

Research for miniaturization and portability of optical coherence tomography, which has received considerable attention as one of the pre-diagnosis methods, has been conducted for several years to further expand the utility of optical coherence tomography. In this study, we introduce a method that can dramatically reduce the size of a system and resources using a Raspberry Pi miniature computer and the proposed small spectrometer. The optical systems of the sample stage and the reference stage were configured as half- inch optical components to reduce the size of the system. The size of the sample stage was minimized by using a MEMS scanning mirror. We designed a board that converts the unipolar drive signal into a bipolar signal to drive the MEMS scanning mirror with Raspberry Pi. The MEMS mirror was controlled by a commercial AD/DA conversion board and a developed board that can be controlled via the generalpurpose input-output (GPIO) pin of Raspberry Pi. Furthermore, we also designed the spectrometer to fit the 1-inch optical system. The camera was selected as a product that can supply power and transmit data through the USB terminal to operate all other components, including the camera, through a portable charger. Due to camera performance limitations, A- scan 5 kHz was the maximum speed, but the resolution was axial 8.5 mu m (Air) and lateral 17.54 mu m, showing similar performance to a commercial system. Although the operating speed is slow, it is expected to be used in various fields due to its portability advantage.

키워드

Ultra-compact Optical Coherence Tomography; Raspberry Pi; OCT (RB-OCT); Portable Biomedical Imaging System
제목
Raspberry Pi-based Low-cost Portable Optical Coherence Tomography to Deliver Health Care Services
저자
Cho, Hoseong; Kim, Pilun; Kim, Hyeree; Wijesinghe, Ruchire Eranga; Jeon, Mansik; Kim, Jeehyun
DOI
10.1117/12.2651248
발행일
2023
유형
Proceedings Paper
저널명
OPTICS AND BIOPHOTONICS IN LOW-RESOURCE SETTINGS IX
권
12369