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
Link To Document :
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