• DocumentCode
    1826768
  • Title

    Integrated segmentation and deformation analysis of 4-D cardiac MR images

  • Author

    Zhu, Yun ; Yan, Ping ; Papademetris, Xenophon ; Sinusas, Albert J. ; Duncan, James S.

  • Author_Institution
    Dept. of Biomed. Eng., Yale Univ., New Haven, CT
  • fYear
    2008
  • fDate
    14-17 May 2008
  • Firstpage
    1437
  • Lastpage
    1440
  • Abstract
    Segmentation and motion estimation from cardiac images are usually considered separately, yet they can obviously benefit from each other. In this paper, we propose a joint segmentation and motion estimation algorithm for the purposes of myocardial deformation analysis and strain estimation. We use segmentation as a guide for selecting feature points with significant shape characteristics, and invoke a Generalized Robust Point Matching (GRPM) strategy with Boundary Element Method (BEM)-based regularization model to estimate the dense displacement field and strain map from 3-D cardiac sequences. Quantitative analysis of the results is performed in comparison with the displacements found using implanted markers, taken to be gold standards.
  • Keywords
    biomechanics; biomedical MRI; boundary-elements methods; cardiology; deformation; image segmentation; 3D cardiac sequences; 4D cardiac MR images; BEM-based regularization model; GRPM strategy; Generalized Robust Point Matching; boundary element method; implanted markers; integrated segmentation; motion estimation; myocardial deformation analysis; strain estimation; Algorithm design and analysis; Boundary element methods; Capacitive sensors; Image analysis; Image motion analysis; Image segmentation; Motion estimation; Myocardium; Robustness; Shape; Boundary Element Method; Cardiac Image Segmentation; Cardiac Motion Analysis; Robust Point Matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-2002-5
  • Electronic_ISBN
    978-1-4244-2003-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2008.4541277
  • Filename
    4541277