Improved lesion detection in optical colonoscopy
Optical colonoscopy has enabled early detection of colon cancer, at a time when it is fully treatable. However, its success in reducing colorectal cancer mortality has been only about half of the expected 90% reduction. One reason is that subtle lesions – subtle changes in the surface of the colon – are easily missed with conventional colonoscopy. This project addresses that need by a novel technique, called photometric stereo endoscopy, that captures the surface topology.
M+Visión project Jan 2012 – Sep 2015
Oncology. Endoscopy. Colorectal cancer. Optics.
Wellman Center for Photomedicine, MGH
Giovanni Traverso, Norman Nishioka
GI Surgery, MGH
Fernando Rodríguez Franco, Julio Mayol, Enrique Rey
System for clinical photometric stereo endoscopy. NJ Durr, G González, D Lim, G Traverso, NS Nishioka, BJ Vakoc, V Parot. SPIE BiOS, 89351F-89351F-6. 2014.
3D imaging techniques for improved colonoscopy. NJ Durr, G González, V Parot. Expert Review of Medical Devices 11 (2). 2014
Imaging Colonic Surface Topography With Photometric Stereo Endoscopy. NJ Durr, VJ Parot, G Traverso, WP Puricelli, BJ Vakoc, NS Nishioka, G González. Gastrointestinal Endoscopy 79 (5), AB352. 2014.
Feature Space Optimization for Virtual Chromoendoscopy Augmented by Topography. G González, V Parot, W Lo, BJ Vakoc, NJ Durr. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, 642-649. 2014
Photometric Stereo Endoscopy (MIT 15991)
Virtual Chromoendoscopy Based On Topography (MIT 15992)
Computer Aided Detection of Lesions in Endoscopy Using Topology (MIT 16014)
Photometric Stereo Endoscopy (MIT 15991, 15992, and 16014)
Patent Cooperation Treaty Serial No. PCT/US2014/026881, Filed March 13, 2014
Media and updates
On August 1 2013, MIT News published a piece about Team Colo’s technology. http://newsoffice.mit.edu/2013/photometric-stereo-endoscopy-0801
On September 16, 2014, Team Colo member Germán González Serrano presented their work to MICCAI:
M+Visión Fellowship Alumnus Germán González Serrano presented a poster associated with the team’s paper, “Virtual chromoendoscopy augmented by topography (VCAT),” to MICCAI, The Medical Image Computing Computer Assisted Intervention Society, on September 16, 2014.