• DocumentCode
    2631936
  • Title

    Building a 4D atlas of the cardiac anatomy and motion using MR imaging

  • Author

    Perperidis, D. ; Lorenzo-Valdés, M. ; Chandrashekara, R. ; Rao, A. ; Mohiaddin, R. ; Sanchez-Ortiz, G.I. ; Rueckert, D.

  • Author_Institution
    Dept. of Comput., Imperial Coll., London, UK
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    412
  • Abstract
    In this paper we describe the construction of 4D atlas of human heart using cardiac MR imaging. This probabilistic atlas captures the cardiac anatomy and function of a healthy heart. In order to build the atlas we have acquired tagged as well as untagged MR image sequences from 11 healthy volunteers. The untagged MR image sequences for each subject are segmented and then mapped into a common reference coordinate system using a novel spatio-temporal registration algorithm to produce a 4D probabilistic model of the cardiac anatomy. In addition, the tagged MR image sequences are used to derive motion fields between the end-diastolic and the end-systolic frames which describe myocardial contraction patterns in each subject. These motion fields are also mapped into our spatio-temporal reference coordinate system to produce a 4D statistical model of cardiac function.
  • Keywords
    biomedical MRI; cardiology; image motion analysis; image registration; image segmentation; image sequences; medical image processing; spatiotemporal phenomena; statistical analysis; 4D cardiac anatomy atlas; MR imaging; end-diastolic frame; end-systolic frame; human heart; image segmentation; image sequences; motion fields; myocardial contraction patterns; probabilistic atlas; spatio-temporal registration algorithm; Anatomy; Biomedical imaging; Cardiovascular system; Educational institutions; Heart; High-resolution imaging; Humans; Image segmentation; Image sequences; Myocardium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398562
  • Filename
    1398562