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

    8 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 publicationAbdominal Imaging
    Subtitle of host publicationComputational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014
    EditorsHiroyuki Yoshida, Janne J. Näppi, Sanjay Saini
    PublisherSpringer Verlag
    Pages151-158
    Number of pages8
    ISBN (Electronic)9783319136912
    DOIs
    StatePublished - Jan 1 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)0302-9743
    ISSN (Electronic)1611-3349

    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

    • Theoretical Computer Science
    • Computer Science(all)

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  • Cite this

    Tajbakhsh, N., Chi, C., Sharma, H., Wu, Q., Gurudu, S. R., & Liang, J. (2014). Automatic assessment of image informativeness in colonoscopy. In H. Yoshida, J. J. Näppi, & S. Saini (Eds.), Abdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014 (pp. 151-158). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8676). Springer Verlag. https://doi.org/10.1007/978-3-319-13692-9_14