Dr. Yu Feng Profile

Dr. Yu Feng

at Shizuoka Univ

SPIE Involvement:

Author

Yu Feng received his Master of Engineering degree in Electrical and Electronic Engineering from Shizuoka University in Japan in 2023. He is currently pursuing a PhD in the Graduate School of Science and Technology at Shizuoka University, specializing in Nanovision Technology. His research focuses on exploring biomedical applications of CMOS image sensors.

SPIE Journal Paper | 18 January 2024 Open Access

Motion-resistant three-wavelength spatial frequency domain imaging system with ambient light suppression using an 8-tap CMOS image sensor

Yu Feng, Chen Cao, Yuto Shimada, Keita Yasutomi, Shoji Kawahito, Gordon Kennedy, Anthony Durkin, Keiichiro Kagawa

JBO, Vol. 29, Issue 01, 016006, (January 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.1.016006

KEYWORDS: Image sensors, Imaging systems, Reflectivity, Tissues, Video, Biomedical optics, Image processing, Skin, In vivo imaging, Optical properties

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SignificanceWe present a motion-resistant three-wavelength spatial frequency domain imaging (SFDI) system with ambient light suppression using an 8-tap complementary metal-oxide semiconductor (CMOS) image sensor (CIS) developed at Shizuoka University. The system addresses limitations in conventional SFDI systems, enabling reliable measurements in challenging imaging scenarios that are closer to real-world conditions.AimOur study demonstrates a three-wavelength SFDI system based on an 8-tap CIS. We demonstrate and evaluate the system’s capability of mitigating motion artifacts and ambient light bias through tissue phantom reflectance experiments and in vivo volar forearm experiments.ApproachWe incorporated the Hilbert transform to reduce the required number of projected patterns per wavelength from three to two per spatial frequency. The 8-tap image sensor has eight charge storage diodes per pixel; therefore, simultaneous image acquisition of eight images based on multi-exposure is possible. Taking advantage of this feature, the sensor simultaneously acquires images for planar illumination, sinusoidal pattern projection at three wavelengths, and ambient light. The ambient light bias is eliminated by subtracting the ambient light image from the others. Motion artifacts are suppressed by reducing the exposure and projection time for each pattern while maintaining sufficient signal levels by repeating the exposure. The system is compared to a conventional SFDI system in tissue phantom experiments and then in vivo measurements of human volar forearms.ResultsThe 8-tap image sensor-based SFDI system achieved an acquisition rate of 9.4 frame sets per second, with three repeated exposures during each accumulation period. The diffuse reflectance maps of three different tissue phantoms using the conventional SFDI system and the 8-tap image sensor-based SFDI system showed good agreement except for high scattering phantoms. For the in vivo volar forearm measurements, our system successfully measured total hemoglobin concentration, tissue oxygen saturation, and reduced scattering coefficient maps of the subject during motion (16.5 cm/s) and under ambient light (28.9 lx), exhibiting fewer motion artifacts compared with the conventional SFDI.ConclusionsWe demonstrated the potential for motion-resistant three-wavelength SFDI system with ambient light suppression using an 8-tap CIS.

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Proceedings Article | 7 March 2023 Presentation + Paper

Demonstration of motion-resistant three-wavelength spatial frequency domain imaging system with ambient light suppression using an 8-tap CMOS image sensor

Yu Feng, Yuto Shimada, Chen Cao, Keita Yasutomi, Shoji Kawahito, Gordon Kennedy, Anthony Durkin, Keiichiro Kagawa

Proceedings Volume 12376, 123760D (2023) https://doi.org/10.1117/12.2649418

KEYWORDS: Image sensors, CMOS sensors, Tissues, Reflectivity, Imaging systems, Light scattering, Scattering, Cameras, Biological imaging, Sensors

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