Colon Shape Estimation

Colon shape estimation aims to create accurate 3D models of the colon from colonoscopy videos or CT scans, improving diagnostic accuracy and procedural planning. Current research focuses on leveraging deep learning, particularly employing techniques like denoising diffusion models, variational autoencoders, and recurrent neural networks, often combined with advanced surface reconstruction methods to address challenges posed by colon deformation and inconsistent image quality. Improved 3D colon modeling promises to enhance polyp detection rates in colonoscopy, reduce the risk of perforation during procedures, and provide more comprehensive visualization for clinicians.