Automatic assessment of image informativeness in colonoscopy

Nima Tajbakhsh, Changching Chi, Haripriya Sharma, Qing Wu, Suryakanth R. Gurudu, Jianming Liang

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

9 Scopus citations

Abstract

Optical colonoscopy is the preferred method for colon cancer screening and prevention. The goal of colonoscopy is to find and remove colonic polyps, precursors to colon cancer. However, colonoscopy is not a perfect procedure. Recent clinical studies report a significant polyp miss due to insufficient quality of colonoscopy. To complicate the problem, the existing guidelines for a “good” colonoscopy, such as maintaining a minimum withdrawal time of 6min, are not adequate to guarantee the quality of colonoscopy. In response to this problem, this paper presents a method that can objectively measure the quality of an examination by assessing the informativeness of the corresponding colonoscopy images. By assigning a normalized quality score to each colonoscopy frame, our method can detect the onset of a hasty examination and encourage a more diligent procedure. The computed scores can also be averaged and reported as the overall quality of colonoscopy for quality monitoring purposes. Our experiments reveal that the suggested method achieves higher sensitivity and specificity to non-informative frames than the existing image quality assessment methods for colonoscopy videos.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages151-158
Number of pages8
Volume8676
ISBN (Print)9783319136912
DOIs
StatePublished - 2014
Event6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Cambridge, United States
Duration: Sep 14 2014Sep 14 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8676
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Workshop on Abdominal Imaging: Computational and Clinical Applications, ABDI 2014 held in conjunction with 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
CountryUnited States
CityCambridge
Period9/14/149/14/14

Keywords

  • Discrete cosine transform
  • Image information assessment
  • Optical colonoscopy
  • Quality monitoring

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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