A time-resolved near-infrared spectroscopy based on CMOS image sensor

De Xing Lioe; Masashi Hakamata; Keita Yasutomi; Keiichiro Kagawa; Masatsugu Niwayama; Yasuko Fukushi; Seiji Yamamoto; Shoji Kawahito

doi:10.1117/12.2545581

21 February 2020 A time-resolved near-infrared spectroscopy based on CMOS image sensor

De Xing Lioe, Masashi Hakamata, Keita Yasutomi, Keiichiro Kagawa, Masatsugu Niwayama, Yasuko Fukushi, Seiji Yamamoto, Shoji Kawahito

Author Affiliations +

Proceedings Volume 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis; 112340P (2020) https://doi.org/10.1117/12.2545581
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Time-resolved (TR) near-infrared spectroscopy (NIRS) offers non-invasive clinical applications in monitoring the blood oxygenation, where absolute values of oxygenated and deoxygenated hemoglobin, and absorption and scattering coefficient, can be obtained. Various detectors have been utilized to realize a TR-NIRS system, such as PMT, SiPM, and SPAD. This paper proposed a prototype NIRS device implemented using a 128 x 128 lock-in pixel CMOS image sensor (CIS) based on the lateral electric field-charge modulator (LEFM) to achieve high time resolution. Preliminary experiments based on the reflectance of an agar phantom with varying absorption coefficient have been conducted and the ability to detect the changes in the absorption coefficient has been demonstrated. The reflectance of the agar phantom is directly observed by the image sensor, which was operated at a time-window of 900 ps with a sensor detection area of 2.9mm² . The results suggest that a NIRS device using CIS is feasible, which opens the potential of a miniature wearable time-resolved NIRS device.

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De Xing Lioe, Masashi Hakamata, Keita Yasutomi, Keiichiro Kagawa, Masatsugu Niwayama, Yasuko Fukushi, Seiji Yamamoto, and Shoji Kawahito "A time-resolved near-infrared spectroscopy based on CMOS image sensor", Proc. SPIE 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 112340P (21 February 2020); https://doi.org/10.1117/12.2545581

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