• DocumentCode
    2967853
  • Title

    Quantification of 3D left ventricular deformation using hyperelastic warping: comparisons between MRI and PET imaging

  • Author

    Veress, Ai ; Weiss, JA ; Klein, GJ ; Gullberg, GT

  • Author_Institution
    Lawrence Berkeley Nat. Lab., CA, USA
  • fYear
    2002
  • fDate
    22-25 Sept. 2002
  • Firstpage
    709
  • Lastpage
    712
  • Abstract
    Image based finite element (FE) analysis was used to determine the deformation of the left ventricle (LV) between end-systole and end-diastole. The algorithm used volumetric MRI data to create a body force that deformed a finite element model of the LV over half of the cardiac cycle and tracked the tissue deformation. The accuracy of the computational predictions of strain were assessed by the creation of image data sets for which displacements between the images were known. A "forward" left ventricular FE model was given physiological loading and material properties. A loaded magnetic resonance imaging (MRI) data set was created by displacing the end-systolic image MRI data set using the displacement values determined from the forward model. The strains computed from the forward and Warping solutions were compared. Further, PET images from a single patient were analyzed and compared to MRI-based Warping analysis results for the same patient at mid-ventricle and at the base of the LV. The fiber stretch distribution between the forward and warping solutions show good agreement, both in overall stretch distribution and for the stretch values on the image planes. The MRI and PET analyses showed similar stretch distributions indicating that strain distributions can be measured from PET images.
  • Keywords
    biomedical MRI; cardiology; digital simulation; finite element analysis; medical computing; positron emission tomography; PET images; cardiac cycle; end-diastole; end-systole; end-systolic image; fiber stretch distribution; finite element model; image based finite element analysis; image data sets; magnetic resonance imaging data; tissue deformation; Capacitive sensors; Finite element methods; Image analysis; Magnetic analysis; Magnetic field induced strain; Magnetic resonance imaging; Myocardium; Positron emission tomography; Strain measurement; Tagging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2002
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7735-4
  • Type

    conf

  • DOI
    10.1109/CIC.2002.1166871
  • Filename
    1166871