IEEE Transactions on Information Technology in Biomedicine, volume 16, issue 5, pages 842-851
A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images
Xinjian Chen
1
,
Marcelo S Nacif
2
,
SONGTAO LIU
2
,
Christopher Sibley
2
,
Ronald M. Summers
2
,
David A. Bluemke
2
,
Jianhua Yao
2
2
Department of Radiology and Imaging Sciences, National Institute of Health, Bethesda, MD, USA
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Publication type: Journal Article
Publication date: 2012-09-01
SJR: —
CiteScore: —
Impact factor: —
ISSN: 10897771, 15580032
PubMed ID:
22711778
Computer Science Applications
General Medicine
Biotechnology
Electrical and Electronic Engineering
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.
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