• DocumentCode
    438731
  • Title

    Coupled PDEs for non-rigid registration and segmentation

  • Author

    Unal, Gozde ; Slabaugh, Greg

  • Author_Institution
    Dept. of Intelligent Vision & Reasoning, Siemens Corporate Res., Princeton, NJ, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    168
  • Abstract
    In this paper we present coupled partial differential equations (PDEs) for the problem of joint segmentation and registration. The registration component of the method estimates a deformation field between boundaries of two structures. The desired coupling comes from two PDEs that estimate a common surface through segmentation and its non-rigid registration with a target image. The solutions of these two PDEs both decrease the total energy of the surface, and therefore aid each other in finding a locally optimal solution. Our technique differs from recently popular joint segmentation and registration algorithms, all of which assume a rigid transformation among shapes. We present both the theory and results that demonstrate the effectiveness of the approach.
  • Keywords
    image registration; image segmentation; partial differential equations; coupled partial differential equations; joint registration; joint segmentation; nonrigid image registration; nonrigid image segmentation; Anatomical structure; Application software; Biomedical imaging; Deformable models; Image motion analysis; Image segmentation; Joints; Medical diagnostic imaging; Partial differential equations; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.115
  • Filename
    1467264