Electronic colon cleansing by colonic material tagging and image segmentation for polyp detection: detection model and method evaluation

摘要

Virtual colonoscopy provides a safe, non-invasive approach to screening colonic polyps using medical imaging and computer graphics technologies, where computer aided or automated detection plays an important role. For model-based detection using geometrical features, the entire colonic lumen must be delineated first. A critical step to obtain a cleansed colonic lumen relies on bowel preparation. We have been developing an electronic colon-cleansing technology which minimizes the difficulties associated with the bowel preparation using low-residue diet and contrast solutions, and removes the tagged colonic materials electronically from the abdominal image by image-segmentation methods. In this work, we focused on the model description and method evaluation using volunteer studies. Both subjective and