Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
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Computer-aided detection (CAD) for CT colonography has been under development for about eleven years. It is now sufficiently accurate that clinically significant polyps 1 cm and larger can be reliably detected with 90% sensitivity. The research focus is now shifting to reducing the number of false positive detections, clinical validation and integrating CAD into clinical practice and applying CAD to the setting of fecal tagging and laxative-free bowel preparations. This is a dynamic research field which requires the use of state-of-the-art image processing and machine learning techniques.