Computer analysis of upper gastrointestinal endoscope images.

  • D. Wertheim
  • , A. El Atar
  • , A. Patel
  • , O. Makanjuola
  • , A. Imam
  • , S. Mudan
  • , A. Fiennes

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Gastro-oesophageal reflux disease (GORD) occurs in up to 40% of adults in the West. Oesophagitis is a major determinant in the treatment of GORD but its current classification systems are subjective. In order to help to provide objective interpretation of upper gastro-intestinal (GI) endoscope examination and reduce inter-observer variability, we developed a computer image analysis system. Digital video recordings were made on patients with clinical evidence of reflux oesophagitis. Cross-sectional profiles of hue and saturation data were analysed on images from seven patients with grade B or C oesophagitis (LA grading). This analysis showed clear changes in hue (p = 0.01) and saturation (p = 0.001). These results suggest that quantification of upper GI endoscopic images is feasible and may help in objective assessment.
    Original languageEnglish
    Pages (from-to)39-44
    JournalMinimally Invasive Therapy and Allied Technologies
    Volume14
    Issue number1
    DOIs
    Publication statusPublished - Feb 2005

    Keywords

    • endoscope
    • upper gastro-intestinal
    • oesophagitis
    • image analysis
    • esophagitis
    • classification
    • Computer science and informatics

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