• DocumentCode
    1538317
  • Title

    A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images

  • Author

    Xinjian Chen ; Nacif, M.S. ; Songtao Liu ; Sibley, C. ; Summers, R.M. ; Bluemke, D.A. ; Jianhua Yao

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Soochow Univ., Jiangsu, China
  • Volume
    16
  • Issue
    5
  • fYear
    2012
  • Firstpage
    842
  • Lastpage
    851
  • 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
    cardiology; computerised tomography; diseases; image registration; image segmentation; medical image processing; volume measurement; CCT whole heart ECV estimation; blood pool segmentation; diffuse myocardial fibrosis quatification; focal myocardial scar detection; heart extracellular volume; low dose CCT datasets; low dose cardiac CT images; myocardial whole heart ECV fraction estimation; myocardium segmentation; post contrast image; shape constrained graph cut method; symmetric demons deformable registration method; whole heart ECV value; Blood; Heart; Image segmentation; Myocardium; Shape; Three dimensional displays; Training; Cardiac CT (CCT); extracellular volume (ECV) fraction; myocardium segmentation; registration; Aged; Diagnostic Techniques, Cardiovascular; Female; Heart; Heart Failure; Humans; Image Processing, Computer-Assisted; Male; Middle Aged; Myocardium; Regression Analysis; Reproducibility of Results; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2012.2204405
  • Filename
    6216417