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 Citations (Scopus)

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
Externally publishedYes

Fingerprint

Cardiac Volume
Volume fraction
Fibrosis
Blood
Cicatrix
Myocardium

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Biotechnology
  • Computer Science Applications
  • Medicine(all)

Cite this

A framework of whole heart extracellular volume fraction estimation for low-dose Cardiac CT images. / Chen, Xinjian; Nacif, Marcelo S.; Liu, Songtao; Sibley, Christopher; Summers, Ronald M.; Bluemke, David A.; Yao, Jianhua.

In: IEEE Transactions on Information Technology in Biomedicine, Vol. 16, No. 5, 6216417, 2012, p. 842-851.

Research output: Contribution to journalArticle

Chen, Xinjian ; Nacif, Marcelo S. ; Liu, Songtao ; Sibley, Christopher ; Summers, Ronald M. ; Bluemke, David A. ; Yao, Jianhua. / A framework of whole heart extracellular volume fraction estimation for low-dose Cardiac CT images. In: IEEE Transactions on Information Technology in Biomedicine. 2012 ; Vol. 16, No. 5. pp. 842-851.
@article{a947d9a42d7f4a4cb52c82730da1e4dd,
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",
year = "2012",
doi = "10.1109/TITB.2012.2204405",
language = "English (US)",
volume = "16",
pages = "842--851",
journal = "IEEE Journal of Biomedical and Health Informatics",
issn = "2168-2194",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

TY - JOUR

T1 - A framework of whole heart extracellular volume fraction estimation for low-dose Cardiac CT images

AU - Chen, Xinjian

AU - Nacif, Marcelo S.

AU - Liu, Songtao

AU - Sibley, Christopher

AU - Summers, Ronald M.

AU - Bluemke, David A.

AU - Yao, Jianhua

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.

KW - Cardiac CT (CCT)

KW - extracellular volume (ECV) fraction

KW - myocardium segmentation

KW - registration

UR - http://www.scopus.com/inward/record.url?scp=84866614769&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866614769&partnerID=8YFLogxK

U2 - 10.1109/TITB.2012.2204405

DO - 10.1109/TITB.2012.2204405

M3 - Article

C2 - 22711778

AN - SCOPUS:84866614769

VL - 16

SP - 842

EP - 851

JO - IEEE Journal of Biomedical and Health Informatics

JF - IEEE Journal of Biomedical and Health Informatics

SN - 2168-2194

IS - 5

M1 - 6216417

ER -