• DocumentCode
    63114
  • Title

    Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization

  • Author

    Samir, Chafik ; Kurtek, Sebastian ; Srivastava, Anurag ; Canis, Michel

  • Author_Institution
    ISIT, Univ. of Clermont, Clermont, France
  • Volume
    33
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1035
  • Lastpage
    1043
  • Abstract
    We study the problem of joint registration and deformation analysis of endometrial tissue using 3D magnetic resonance imaging (MRI) and 2D trans-vaginal ultrasound (TVUS) measurements. In addition to the different imaging techniques involved in the two modalities, this problem is complicated due to: 1) different patient pose during MRI and TVUS observations, 2) the 3D nature of MRI and 2D nature of TVUS measurements, 3) the unknown intersecting plane for TVUS in MRI volume, and 4) the potential deformation of endometrial tissue during TVUS measurement process. Focusing on the shape of the tissue, we use expert manual segmentation of its boundaries in the two modalities and apply, with modification, recent developments in shape analysis of parametric surfaces to this problem. First, we extend the 2D TVUS curves to generalized cylindrical surfaces through replication, and then we compare them with MRI surfaces using elastic shape analysis. This shape analysis provides a simultaneous registration (optimal reparameterization) and deformation (geodesic) between any two parametrized surfaces. Specifically, it provides optimal curves on MRI surfaces that match with the original TVUS curves. This framework results in an accurate quantification and localization of the deformable endometrial cells for radiologists, and growth characterization for gynecologists and obstetricians. We present experimental results using semi-synthetic data and real data from patients to illustrate these ideas.
  • Keywords
    biological tissues; biomechanics; biomedical MRI; biomedical ultrasonics; cellular biophysics; deformation; differential geometry; elasticity; image registration; image segmentation; medical image processing; 2D TVUS curves; 2D trans-vaginal ultrasound measurements; 3D magnetic resonance imaging; 3D-2D registration; TVUS measurements; cylindrical surfaces; deformable endometrial cells; deformation analysis; elastic shape analysis; endometrial tissue characterization; generalized cylindrical surfaces; geodesics; gynecologists; image segmentation; joint registration; obstetricians; parametric surfaces; patient pose; radiologists; Deformation; Endometriosis; Geodesics; Magnetic resonance imaging; Measurement; Shape analysis; Three-dimensional displays; Ultrasonic imaging; 3D-2D registration; Elastic deformation; elastic geodesics; endo metriosis; generalized cylinders; multi-modal registration; reparametrization; shape analysis;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2014.2300935
  • Filename
    6714481