• DocumentCode
    10966
  • Title

    Electronic Cleansing in Fecal-Tagging Dual-Energy CT Colonography Based on Material Decomposition and Virtual Colon Tagging

  • Author

    Wenli Cai ; June-Goo Lee ; Da Zhang ; Se Hyung Kim ; Zalis, Michael ; Yoshida, Hiroyuki

  • Author_Institution
    Med. Sch., Dept. of Radiol., Harvard Univ., Boston, MA, USA
  • Volume
    62
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    754
  • Lastpage
    765
  • Abstract
    Dual-energy CT provides a promising solution to identify tagged fecal materials in electronic cleansing (EC) for fecal-tagging CT colonography (CTC). In this study, we developed a new EC method based on virtual colon tagging (VCT) for minimizing EC artifacts by use of the material decomposition ability in dual-energy CTC images. In our approach, a localized three-material decomposition model decomposes each voxel into a material mixture vector and the first partial derivatives of three base materials: luminal air, soft tissue, and iodine-tagged fecal material. A Poisson-based derivative smoothing algorithm smoothes the derivatives and implicitly smoothes the associated material mixture fields. VCT is a means for marking the entire colonic lumen by virtually elevating the CT value of luminal air as high as that of the tagged fecal materials to differentiate effectively soft-tissue structures from air-tagging mixtures. A dual-energy EC scheme based on VCT method, denoted as VCT-EC, was developed, in which the colonic lumen was first virtually tagged and then segmented by its high values in VCT images. The performance of the VCT-EC scheme was evaluated in a phantom study and a clinical study. Our results demonstrated that our VCT-EC scheme may provide a significant reduction of EC artifacts.
  • Keywords
    Poisson equation; biological tissues; computerised tomography; image denoising; image segmentation; medical image processing; phantoms; CT value; EC artifact reduction; EC method; Poisson-based derivative smoothing algorithm; VCT method; VCT-EC; air-tagging mixtures; associated material mixture fields; base materials; clinical study; colonic lumen; dual-energy CTC; dual-energy EC; electronic cleansing; fecal-tagging CT colonography; fecal-tagging dual-energy CT colonography; first partial derivatives; image segmentation; iodine-tagged fecal material; localized three-material decomposition model; luminal air; material decomposition ability; material mixture vector; phantom study; soft-tissue structures; tagged fecal materials; virtual colon tagging; voxel; Biological tissues; Colon; Computed tomography; Equations; Materials; Mathematical model; Tagging; Dual-energy CT; Dual-energy CT (DE-CT); Electronic cleansing; Partial volume effect; Virtual colonoscopy; electronic cleansing (EC); partial volume effect (PVE); virtual colonoscopy;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2014.2364837
  • Filename
    6936320