Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders

Gyeong Woo Cheon; So-Hyun Nam; Jaepyeong Cha

doi:10.1117/12.2612609

4 April 2022 Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders

Gyeong Woo Cheon, So-Hyun Nam, Jaepyeong Cha

Author Affiliations +

Proceedings Volume 12033, Medical Imaging 2022: Computer-Aided Diagnosis; 120333E (2022) https://doi.org/10.1117/12.2612609
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Mesenteric ischemia or infraction involves a wide spectrum of disease and is known as complex disorder with high mortality rate. The bowel ischemia is caused by insufficient blood flow to the intestine and surgical intervention is the definitive treatment to remove non-viable tissues and restore blood flow to viable tissues. Current clinical practice primarily relies on individual surgeon’s visual inspection and clinical experience that can be subjective and unreproducible. Therefore, more consistent and objective method is required to improve the surgical performance and clinical outcomes. In this work, we present a new optical method combined with unsupervised learning using conditional variational encoders to enable quantitative and objective assessment of tissue perfusion. We integrated multimodal optical imaging technologies of color RGB and non-invasive dye-free laser speckle contrast imaging (LSCI) into a handheld device, observed normal small bowel tissues to train generative autoencoder deep neural network pipeline, and finally tested small bowel ischemia detection through preclinical rodent studies.

Conference Presentation

Citation Download Citation

Gyeong Woo Cheon, So-Hyun Nam, and Jaepyeong Cha "Unsupervised optical small bowel ischemia detection in a preclinical model using convolutional variational autoencoders", Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, 120333E (4 April 2022); https://doi.org/10.1117/12.2612609

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