Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy

Recent advances in biophotonics have enabled in-vivo, in-situ histopathology for routine clinical applications. The non-invasive nature of these optical `biopsy' techniques, however, entails the difficulty of identifying previously visited biopsy locations, particularly for surveillance examinations. This paper presents a novel region-matching approach for narrow-band endoscopy to facilitate retargeting the optical biopsy sites. The task of matching sparse affine covariant image regions is modelled in a Markov Random Field (MRF) framework. The proposed model incorporates appearance based region similarities as well as spatial correlations of neighbouring regions. In particular, a geometric constraint that is robust to deviations in relative positioning of the detected regions is introduced. In the proposed model, the appearance and geometric constraints are evaluated in the same space (photometry), allowing for their seamless integration into the MRF objective function. The perfor...

• Type: Conference
• Year: 2009
• Where: MICCAI
• Authors: Selen Atasoy, Ben Glocker, Stamatia Giannarou, Diana Mateus, Alexander Meining, Guang-Zhong Yang, Nassir Navab
• Keywords: Covariant Image Regions, Medical Imaging, MICCAI 2009, MRF Objective Function, Optical Biopsy Sites