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Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance

Abstract : 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, (a) the choice of feature descriptors and color-space, (b) filtering of uninformative frames, (c) 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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Contributor : Anant Suraj Vemuri Connect in order to contact the contributor
Submitted on : Friday, October 16, 2015 - 10:46:49 PM
Last modification on : Saturday, June 25, 2022 - 11:16:56 PM
Long-term archiving on: : Monday, January 18, 2016 - 5:57:44 AM


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  • HAL Id : hal-01203463, version 1



Anant S. Vemuri, Stéphane Nicolau, Jacques Marescaux, Luc Soler, Nicholas Ayache. Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance . Medical Content-based Retrieval for Clinical Decision Support, Tanveer Syeda-Mahmood; Hayit Greenspan; Anant Madabhushi, Oct 2015, Munich, Germany. pp.1-8. ⟨hal-01203463⟩



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