• DocumentCode
    674535
  • Title

    Assessment of the fibrotic myocardial tissue mechanics by image processing

  • Author

    Cordero-Grande, Lucilio ; Sevilla, Teresa ; Revilla, Ana ; Martin-Fernandez, Marcos ; Alberola-Lopez, Carlos

  • Author_Institution
    Lab. de Procesado de Imagen, Univ. de Valladolid, Valladolid, Spain
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    635
  • Lastpage
    638
  • Abstract
    We propose an image processing methodology to study the mechanical properties of fibrotic and normal tissue of the myocardium in magnetic resonance. The procedure fuses cine and late enhanced images and estimates the myocardial motion in cine images. A novel fast and robust tracking procedure is proposed in which the deformation is modeled by a Markov random field and quasi-incompressible, spatio-temporally smooth and homeomorphic transformations are promoted. The method has been applied to the analysis of the differences in the contractility patterns of hyperenhanced and normal zones in a set of 12 patients affected by hypertrophic cardiomyopathy. The absolute value of both the mean radial and circumferential components of the peak Green strain and strain rate tensors has been encountered significantly lower when hyper-enhancement is present. On the other hand, the peak rotation dispersion in the longitudinal-radial plane has been encountered significantly smaller in the fibrotic region.
  • Keywords
    Green´s function methods; Markov processes; biomechanics; biomedical MRI; deformation; diseases; image enhancement; medical image processing; motion estimation; muscle; spatiotemporal phenomena; tensors; Markov random field; cine enhanced images; circumferential components; contractility patterns; fast tracking procedure; fibrotic myocardial tissue mechanics assessment; homeomorphic transformations; hypertrophic cardiomyopathy; image processing methodology; late enhanced images; longitudinal-radial plane; magnetic resonance imaging; mechanical properties; myocardial motion estimation; peak Green strain rate tensors; quasiincompressible transformations; radial components; robust tracking procedure; spatiotemporally smooth transformations; Image processing; Imaging; Magnetic resonance; Materials; Myocardium; Strain; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2013
  • Conference_Location
    Zaragoza
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-0884-4
  • Type

    conf

  • Filename
    6713457