• DocumentCode
    1303211
  • Title

    Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path

  • Author

    Jiamin Liu ; Chang, K.W. ; Jianhua Yao ; Summers, R.M.

  • Author_Institution
    Dept. of Radiol. & Imaging Sci., Nat. Inst. of Health, Bethesda, MD, USA
  • Volume
    59
  • Issue
    12
  • fYear
    2012
  • Firstpage
    3531
  • Lastpage
    3540
  • Abstract
    The ability to accurately locate a polyp found on computed tomographic colonography (CTC) at subsequent optical colonoscopy (OC) is an important task in colorectal cancer screening. We present a method to more accurately match polyp locations at CTC and OC. A colonoscope was modeled as a flexible tube with negligible stretch and minimal strain. The path of the colonoscope was estimated using a minimal-energy curve method. The energy function was defined and optimized by a subdivision scheme. The prediction of polyp locations at OC from CTC was converted to an optimization problem. The prediction performance was evaluated on 134 polyps by comparing the predicted with the true polyp locations at OC. The method can accurately predict polyp locations at OC to within ±0.5 colonoscope mark (5 cm) for more than 58% of polyps and to within ±1 colonoscope mark (10 cm) for more than 96% of polyps, significantly improving upon previously published methods. This method can be easily incorporated into routine OC practice and allow the colonoscopist to begin the examination by targeting locations of potential polyps found at CTC.
  • Keywords
    biomedical optical imaging; cancer; computerised tomography; endoscopes; optimisation; colonoscope path minimal-energy curve modeling; colonoscopist; colorectal cancer screening; energy function; minimal-energy curve method; on computed tomographic colonography; optical colonoscopy; optimization problem; polyp location; size 5 cm to 10 cm; subdivision scheme; Cancer; Colonoscopy; Computed tomography; Curve fitting; Splines (mathematics); Tumors; CT colonography; Colonic polyps; minimal-energy curve; optical colonoscopy; Algorithms; Colonic Polyps; Colonography, Computed Tomographic; Humans; Image Processing, Computer-Assisted; Linear Models; Models, Biological; Optical Imaging;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2217960
  • Filename
    6316163