• DocumentCode
    617365
  • Title

    High resolution cardiac shape registration using Ricci flow

  • Author

    Mingchen Gao ; Rui Shi ; Shaoting Zhang ; Wei Zeng ; Zhen Qian ; Gu, Xianfeng David ; Metaxas, Dimitris ; Axel, L.

  • Author_Institution
    CBIM, Rutgers Univ., Piscataway, NJ, USA
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    488
  • Lastpage
    491
  • Abstract
    Current CT techniques are able to produce isotropic high resolution CT images (0.5mm). Recent research has revealed that the interior of the left ventricle has complex structures and topology, which has potentially valuable information. However, this makes the matching between models much more challenging. In this paper, we propose a novel method to match two models with non-trivial topology. 3D mesh models are flattened onto a 2D planar surfaces using discrete hyperbolic Ricci flow. Therefore, the 3D matching problem is converted to a much simpler 2D matching problem. We show the performance on the registration of high resolution left ventricle models.
  • Keywords
    cardiology; computerised tomography; image registration; medical image processing; mesh generation; physiological models; 2D matching problem; 2D planar surface; 3D matching problem; 3D mesh model; computed tomography; discrete hyperbolic Ricci flow; high resolution cardiac shape registration; high resolution left ventricle model; isotropic high resolution CT image; left ventricle structure; left ventricle topology; Computational modeling; Computed tomography; Deformable models; Harmonic analysis; Measurement; Shape; Topology; Ricci flow; high resolution CT; shape registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556518
  • Filename
    6556518