Computational colonoscopy

Nicholas J. Durr; Taylor L. Bobrow; Suchapa Arayakarnkul; Saowanee Ngamruengphong

doi:10.1117/12.3009912

13 March 2024 Computational colonoscopy

Nicholas J. Durr, Taylor L. Bobrow, Suchapa Arayakarnkul, Saowanee Ngamruengphong

Proceedings Volume PC12825, Molecular-Guided Surgery: Molecules, Devices, and Applications X; PC1282507 (2024) https://doi.org/10.1117/12.3009912
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We present a modified colonoscope that allows for precise control over the illumination coherence, direction, and color. By capturing and processing images under different illumination conditions, this colonoscope generates maps of superficial blood flow, high spatial frequency 3D topography, reflectance, and chromophore concentrations. In this presentation, we describe the system design and characterize its contrast in benchtop experiments with various tissue phantoms. Finally, we will summarize our findings from using this multimodal imaging system on human participants undergoing colonoscopy screening.

Conference Presentation

Citation Download Citation

Nicholas J. Durr, Taylor L. Bobrow, Suchapa Arayakarnkul, and Saowanee Ngamruengphong "Computational colonoscopy", Proc. SPIE PC12825, Molecular-Guided Surgery: Molecules, Devices, and Applications X, PC1282507 (13 March 2024); https://doi.org/10.1117/12.3009912

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