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

doi:10.1109/TITB.2012.2204405

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 journal › Article › peer-review

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 language	English (US)
Article number	6216417
Pages (from-to)	842-851
Number of pages	10
Journal	IEEE Transactions on Information Technology in Biomedicine
Volume	16
Issue number	5
DOIs	https://doi.org/10.1109/TITB.2012.2204405
State	Published - 2012
Externally published	Yes

Funding

Manuscript received November 11, 2011; revised April 10, 2012; accepted June 2, 2012. Date of publication June 12, 2012; date of current version September 20, 2012. This work was supported in part by the Intramural Research Program of the Clinical Center, National Institutes of Health.

Funders	Funder number
Author National Institutes of Health National Institutes of Health National Institutes of Health National Institutes of Health The Bev Hartig Huntington's Disease Foundation National Institutes of Health
National Institute of Biomedical Imaging and Bioengineering	ZIAEB000072

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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10.1109/TITB.2012.2204405

Cite this

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

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.",

keywords = "Cardiac CT (CCT), extracellular volume (ECV) fraction, myocardium segmentation, registration",

author = "Xinjian Chen and Nacif, \{Marcelo S.\} and Songtao Liu and Christopher Sibley and Summers, \{Ronald M.\} and Bluemke, \{David A.\} and Jianhua Yao",

note = "Funding Information: Manuscript received November 11, 2011; revised April 10, 2012; accepted June 2, 2012. Date of publication June 12, 2012; date of current version September 20, 2012. This work was supported in part by the Intramural Research Program of the Clinical Center, National Institutes of Health.",

year = "2012",

doi = "10.1109/TITB.2012.2204405",

language = "English (US)",

volume = "16",

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AU - Chen, Xinjian

AU - Nacif, Marcelo S.

AU - Liu, Songtao

AU - Sibley, Christopher

AU - Summers, Ronald M.

AU - Bluemke, David A.

AU - Yao, Jianhua

N1 - Funding Information: Manuscript received November 11, 2011; revised April 10, 2012; accepted June 2, 2012. Date of publication June 12, 2012; date of current version September 20, 2012. This work was supported in part by the Intramural Research Program of the Clinical Center, National Institutes of Health.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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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KW - extracellular volume (ECV) fraction

KW - myocardium segmentation

KW - registration

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

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