DefenseSelenAtasoy

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Doctoral Defense by Selen Atasoy

Selen Atasoy

  • Date: Friday June 22nd, 2012
  • Time: 16:00
  • Location: Room 00.05.035, FMI-Building, Garching, Boltzmannstr. 3

Endoscopic Video Manifolds for Scene Recognition in Targeted Optical Biopsy

Abstract:

Recent introduction of probe-based confocal laser endomicroscopy (pCLE) enabled real-time and in-vivo visualisation of biological tissue on a microscopic level. Due to their non-invasive nature, optical biopsies involve the new challenge of re-targeting previous biopsy sites during surveillance examinations. In this thesis, a novel scene recognition method is presented to support the re-targeting of optical biopsy sites in surveillance GI-endoscopies. Drawing on the mathematical framework of manifold learning, a new representation for endoscopic videos is introduced. Experimental evaluation on real clinical data demonstrates the feasibility of the proposed methods as a promising step for assisting the endoscopic expert in re-targeting optical biopsy sites.

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Title: PhD? Defense of Selen Atasoy: Endoscopic Video Manifolds for Scene Recognition in Targeted Optical Biopsy
Date: 22 June 2012
Location: Room 00.05.035, FMI-Building, Garching, Boltzmannstr. 3
Abstract: Recent introduction of probe-based confocal laser endomicroscopy (pCLE) enabled real-time and in-vivo visualisation of biological tissue on a microscopic level. Due to their non-invasive nature, optical biopsies involve the new challenge of re-targeting previous biopsy sites during surveillance examinations. In this thesis, a novel scene recognition method is presented to support the re-targeting of optical biopsy sites in surveillance GI-endoscopies. Drawing on the mathematical framework of manifold learning, a new representation for endoscopic videos is introduced. Experimental evaluation on real clinical data demonstrates the feasibility of the proposed methods as a promising step for assisting the endoscopic expert in re-targeting optical biopsy sites.
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