15 February 2017 Real-time fluorescence target/background (T/B) ratio calculation in multimodal endoscopy for detecting GI tract cancer
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Proceedings Volume 10057, Multimodal Biomedical Imaging XII; 100570D (2017) https://doi.org/10.1117/12.2250234
Event: SPIE BiOS, 2017, San Francisco, California, United States
Abstract
Multimodal endoscopy, with fluorescence-labeled probes binding to overexpressed molecular targets, is a promising technology to visualize early-stage cancer. T/B ratio is the quantitative analysis used to correlate fluorescence regions to cancer. Currently, T/B ratio calculation is post-processing and does not provide real-time feedback to the endoscopist. To achieve real-time computer assisted diagnosis (CAD), we establish image processing protocols for calculating T/B ratio and locating high-risk fluorescence regions for guiding biopsy and therapy in Barrett’s esophagus (BE) patients.

Methods: Chan-Vese algorithm, an active contour model, is used to segment high-risk regions in fluorescence videos. A semi-implicit gradient descent method was applied to minimize the energy function of this algorithm and evolve the segmentation. The surrounding background was then identified using morphology operation. The average T/B ratio was computed and regions of interest were highlighted based on user-selected thresholding. Evaluation was conducted on 50 fluorescence videos acquired from clinical video recordings using a custom multimodal endoscope.

Results: With a processing speed of 2 fps on a laptop computer, we obtained accurate segmentation of high-risk regions examined by experts. For each case, the clinical user could optimize target boundary by changing the penalty on area inside the contour.

Conclusion: Automatic and real-time procedure of calculating T/B ratio and identifying high-risk regions of early esophageal cancer was developed. Future work will increase processing speed to <5 fps, refine the clinical interface, and apply to additional GI cancers and fluorescence peptides.
Conference Presentation
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Yang Jiang, Yang Jiang, Yuanzheng Gong, Yuanzheng Gong, Thomas D. Wang, Thomas D. Wang, Eric J. Seibel, Eric J. Seibel, } "Real-time fluorescence target/background (T/B) ratio calculation in multimodal endoscopy for detecting GI tract cancer", Proc. SPIE 10057, Multimodal Biomedical Imaging XII, 100570D (15 February 2017); doi: 10.1117/12.2250234; https://doi.org/10.1117/12.2250234
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