Information-preserving pseudo-enhancement correction for non-cathartic low-dose dual-energy CT colonography

Janne J. Näppi, Rie Tachibana, Daniele Regge, Hiroyuki Yoshida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In CT colonography (CTC), orally administered positivecontrast fecal-tagging agents can cause artificial elevation of the observed radiodensity of adjacent soft tissue. Such pseudo-enhancement makes it challenging to differentiate polyps and folds reliably from tagged materials, and it is also present in dual-energy CTC (DE-CTC).We developed a method that corrects for pseudo-enhancement on DE-CTC images without distorting the dual-energy information contained in the data. A pilot study was performed to evaluate the effect of the method visually and quantitatively by use of clinical non-cathartic low-dose DE-CTC data from 10 patients including 13 polyps covered partially or completely by iodine-based fecal tagging. The results indicate that the proposed method can be used to reduce the pseudo-enhancement distortion of DE-CTC images without losing material-specific dual-energy information. The method has potential application in improving the accuracy of automated image-processing applications, such as computer-aided detection and virtual bowel cleansing in CTC.

Original languageEnglish
Title of host publicationAbdominal Imaging: Computational and Clinical Applications - 6th International Workshop, ABDI 2014 held in conjunction with MICCAI 2014
PublisherSpringer Verlag
Pages159-168
Number of pages10
Volume8676
ISBN (Print)9783319136912
DOIs
Publication statusPublished - 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)03029743
ISSN (Electronic)16113349

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

  • CT colonography
  • Dual-energy CT
  • Pseudo-enhancement
  • Virtual colonoscopy

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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