Cloud-super-computing virtual colonoscopy with motion-based navigation for colon cancer screening

A novel cloud-super-computing-based diagnostic system for colon cancer based on laxative-free virtual colonoscopy examination has been developed. The virtual colonoscopy images are post-processed by computationally intensive algorithms such as real-time computer-assisted bowel preparation for increased patient adherence to the screening program, and real-time computer-assisted detection for improved sensitivity in the detection of colonic polyps. A high-resolution mobile display system is connected to the cloud-supercomputing virtual colonoscopy system to allow for visualization of the entire colonic lumens and diagnosis of colonic lesions at anytime, anywhere. The navigation through the colonic lumen is driven by a motion-based natural user interface based on a Kinect sensor for easy navigation and localization of colonic lesions. Preliminary results show that the cloud-supercomputing-based virtual colonoscopy system with motion-based navigation improves the workflow and efficiency of the interpretation of virtual colonoscopy images for screening of colorectal cancers.