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arXiv · 1610.04097

Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance

Anant S. Vemuri·Stephane A. Nicolau·Jacques Marescaux·Luc Soler·Nicholas Ayache
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Abstract

Esophageal adenocarcinoma arises from Barrett's esophagus, which is the most serious complication of gastroesophageal reflux disease. Strategies for screening involve periodic surveillance and tissue biopsies. A major challenge in such regular examinations is to record and track the disease evolution and re-localization of biopsied sites to provide targeted treatments. In this paper, we extend our original inter-operative relocalization framework to provide a constrained image based search for obtaining the best view-point match to the live view. Within this context we investigate the effect of: the choice of feature descriptors and color-space; filtering of uninformative frames and endoscopic modality, for view-point localization. Our experiments indicate an improvement in the best view-point retrieval rate to [92%,87%] from [73%,76%] (in our previous approach) for NBI and WL.

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Anant S. Vemuri, Stephane A. Nicolau, Jacques Marescaux, Luc Soler, Nicholas Ayache. 2016-10-13. Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance. https://arxiv.org/abs/1610.04097

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