An adaptive-coherence light source for hyperspectral, topographic, and flow-contrast imaging

Taylor L. Bobrow; Nicholas J. Durr

doi:10.1117/12.2510632

27 February 2019 An adaptive-coherence light source for hyperspectral, topographic, and flow-contrast imaging

Taylor L. Bobrow, Nicholas J. Durr

Proceedings Volume 10871, Multimodal Biomedical Imaging XIV; 108710Y (2019) https://doi.org/10.1117/12.2510632
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Colorectal cancer accounts for an estimated 8% of cancer deaths in the United States with a five-year survival rate of 55-75%. The early detection and removal of precancerous lesions is critical for reducing mortality, but subtle neoplastic growths, such as non-polypoid lesions, often go undetected during routine colonoscopy. Current approaches to flat or depressed lesion detection are ineffective due to the poor contrast of subtle features in white light endoscopy. Towards improving colorectal lesion contrast, we present an endoscopic light source with custom laser channels for multimodal color, topographic, and speckle contrast flow imaging. Three red-green-blue laser units, paired with laser speckle reducers, are coupled into endoscopic fiber optic light guides in a benchtop endoscope. Tissue phantom topography is reconstructed using alternating illumination of the laser units and a photometric stereo endoscopy algorithm. The contrast of flow regions is enhanced in an optical flow phantom using laser speckle contrast imaging. Further, the system retains the ability to offer white light and narrow band illumination modes with improved power efficiency, a reduced size, and longer lifetimes compared to conventional endoscopic arc lamp sources. This novel endoscopic light source design shows promise for increasing the detection of subtle lesions in routine colonoscopy screening.

Citation Download Citation

Taylor L. Bobrow and Nicholas J. Durr "An adaptive-coherence light source for hyperspectral, topographic, and flow-contrast imaging", Proc. SPIE 10871, Multimodal Biomedical Imaging XIV, 108710Y (27 February 2019); https://doi.org/10.1117/12.2510632

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