Analysis of Crohn's disease lesions in capsule endoscopy images

Srdan Bejakovic, Rajesh Kumar, Themistocles Dassopoulos, Gerard Mullin, Gregory Hager

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Capsule endoscopy (CE) is aimed at diagnosing disease in areas of the gastrointestinal (GI) tract beyond the reach of conventional endoscopy. Recent work has addressed various methods for reducing the complexity of CE diagnosis and the time needed for analyzing the data. This includes detection of lumen and its contractions, fluids such as blood and intestinal juices, as well as extraneous matter such as food and bubbles. This paper outlines our ongoing work to segment lesions (in particular Crohn's disease) and other abnormalities in CE images. In particular, here we describe the data collection and clinical analysis for our project and preliminary results for segmenting abnormal and extraneous images from a set of 10 CE studies.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Robotics and Automation, ICRA '09
Pages2793-2798
Number of pages6
DOIs
StatePublished - Nov 2 2009
Event2009 IEEE International Conference on Robotics and Automation, ICRA '09 - Kobe, Japan
Duration: May 12 2009May 17 2009

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2009 IEEE International Conference on Robotics and Automation, ICRA '09
CountryJapan
CityKobe
Period5/12/095/17/09

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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