A framework of whole heart extracellular volume fraction estimation for low-dose Cardiac CT images

Xinjian Chen, Marcelo S. Nacif, Songtao Liu, Christopher Sibley, Ronald M. Summers, David A. Bluemke, Jianhua Yao

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Cardiac CT (CCT) is widely available and has been validated for the detection of focal myocardial scar using a delayed enhancement technique in this paper. CCT, however, has not been previously evaluated for quantification of diffuse myocardial fibrosis. In our investigation, we sought to evaluate the potential of low-dose CCT for the measurement of myocardial whole heart extracellular volume (ECV) fraction. ECV is altered under conditions of increased myocardial fibrosis. A framework consisting of three main steps was proposed for CCT whole heart ECV estimation. First, a shape-constrained graph cut (GC) method was proposed for myocardium and blood pool segmentation on postcontrast image. Second, the symmetric demons deformable registration method was applied to register precontrast to postcontrast images. So the correspondences between the voxels from precontrast to postcontrast images were established. Finally, the whole heart ECV value was computed. The proposed method was tested on 20 clinical low-dose CCT datasets with precontrast and postcontrast images. The preliminary results demonstrated the feasibility and efficiency of the proposed method.

Original languageEnglish (US)
Article number6216417
Pages (from-to)842-851
Number of pages10
JournalIEEE Transactions on Information Technology in Biomedicine
Volume16
Issue number5
DOIs
StatePublished - 2012

Keywords

  • Cardiac CT (CCT)
  • extracellular volume (ECV) fraction
  • myocardium segmentation
  • registration

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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