Automated detection and diagnosis of Crohn's disease in CT enterography

Janne J. Näppi, Dushyant V. Sahani, Joel G. Fletcher, Hiroyuki Yoshida

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

1 Scopus citations

Abstract

Crohn's disease is an inflammatory bowel disease that has a variety of symptoms and that is increasing in prevalence. There is a need for diagnostic tools that would provide objective and reproducible measurements for guiding therapy. We developed a computer-assisted diagnosis (CAD) scheme for diagnosing mural enhancement and for detecting small-bowel obstructions of Crohn's disease in computed tomographic enterography (CTE). The scheme was evaluated on 69 patients. The values of quantitative features calculated by CAD were significantly different in the case of Crohn's disease than in normal patients. The per-patient detection sensitivity for obstructions was 93%. The results indicate that CAD can be used to provide radiologists with reliable automated quantitative interpretation of CTE data.

Original languageEnglish (US)
Title of host publicationAbdominal Imaging
Subtitle of host publicationComputational and Clinical Applications - Third International Workshop, Held in Conjunction with MICCAI 2011, Revised Selected Papers
Pages84-90
Number of pages7
DOIs
StatePublished - Mar 21 2012
Event3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada
Duration: Sep 18 2011Sep 18 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7029 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011
CountryCanada
CityToronto, ON
Period9/18/119/18/11

Keywords

  • Crohn's disease
  • computer-aided detection
  • computer-assisted diagnosis
  • enterography
  • mural enhancement
  • small bowel
  • small intestine

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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