An intelligent system to detect Crohn's disease inflammation in wireless capsule endoscopy videos

H. Z. Girgis, B. R. Mitchell, T. Dassopoulos, G. Mullin, G. Hager

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

Abstract

A Wireless Capsule Endoscope (WCE) is a small device that is capable of acquiring thousands of images as it travels through the gastrointestinal track. WCE is becoming a widely accepted method which physicians use in the diagnosis of Crohn's disease, an inflammatory disease that occurs mainly in the small intestine. In this article we present a novel method to detect those images showing inflammation among the thousands of images acquired by the WCE. Further, our method is capable of delineating the inflammation region(s) in each detected frame. Our system utilizes the mean-shift algorithm to find centers of candidate regions that may show Crohn's disease inflammation. Then the system classifies these regions by a trained Support Vector Machine. We have trained, validated and tested our method on three mutually exclusive sets. Our system's testing accuracy, specificity and sensitivity are 87%, 93% and 80% respectively.

Original languageEnglish (US)
Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2010 - Proceedings
Pages1373-1376
Number of pages4
DOIs
StatePublished - Aug 9 2010
Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands
Duration: Apr 14 2010Apr 17 2010

Publication series

Name2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Other

Other7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
CountryNetherlands
CityRotterdam
Period4/14/104/17/10

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Keywords

  • Crohn's disease
  • Inflammation detection and the mean shift algorithm
  • Wireless capsule endoscopy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Girgis, H. Z., Mitchell, B. R., Dassopoulos, T., Mullin, G., & Hager, G. (2010). An intelligent system to detect Crohn's disease inflammation in wireless capsule endoscopy videos. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 1373-1376). [5490253] (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). https://doi.org/10.1109/ISBI.2010.5490253