Literature DB >> 25350911

Electronic cleansing in fecal-tagging dual-energy CT colonography based on material decomposition and virtual colon tagging.

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

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.

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Year:  2014        PMID: 25350911     DOI: 10.1109/TBME.2014.2364837

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

Review 1.  Progress in Fully Automated Abdominal CT Interpretation.

Authors:  Ronald M Summers
Journal:  AJR Am J Roentgenol       Date:  2016-04-21       Impact factor: 3.959

2.  Improved Sensitivity and Reader Confidence in CT Colonography Using Dual-Layer Spectral CT: A Phantom Study.

Authors:  Markus M Obmann; Chansik An; Amanda Schaefer; Yuxin Sun; Zhen J Wang; Judy Yee; Benjamin M Yeh
Journal:  Radiology       Date:  2020-07-28       Impact factor: 11.105

3.  Measurement of smaller colon polyp in CT colonography images using morphological image processing.

Authors:  K N Manjunath; P C Siddalingaswamy; G K Prabhu
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-06-01       Impact factor: 2.924

Review 4.  Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Authors:  Rie Tachibana; Janne J Näppi; Junko Ota; Nadja Kohlhase; Toru Hironaka; Se Hyung Kim; Daniele Regge; Hiroyuki Yoshida
Journal:  Radiographics       Date:  2018 Nov-Dec       Impact factor: 6.312

  4 in total

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