• DocumentCode
    899879
  • Title

    Automated Finite-Element Analysis for Deformable Registration of Prostate Images

  • Author

    Crouch, Jessica R. ; Pizer, Stephen M. ; Chaney, Edward L. ; Hu, Yu-Chi ; Mageras, Gig S. ; Zaider, Marco

  • Author_Institution
    Old Dominion Univ., Norfolk
  • Volume
    26
  • Issue
    10
  • fYear
    2007
  • Firstpage
    1379
  • Lastpage
    1390
  • Abstract
    Two major factors preventing the routine clinical use of finite-element analysis for image registration are: 1) the substantial labor required to construct a finite-element model for an individual patient´s anatomy and 2) the difficulty of determining an appropriate set of finite-element boundary conditions. This paper addresses these issues by presenting algorithms that automatically generate a high quality hexahedral finite-element mesh and automatically calculate boundary conditions for an imaged patient. Medial shape models called m-reps are used to facilitate these tasks and reduce the effort required to apply finite-element analysis to image registration. Encouraging results are presented for the registration of CT image pairs which exhibit deformation caused by pressure from an endorectal imaging probe and deformation due to swelling.
  • Keywords
    biological organs; finite element analysis; image registration; medical image processing; boundary conditions; deformable registration; finite element analysis; image registration; prostate images; Biomedical imaging; Boundary conditions; Computational modeling; Deformable models; Finite element methods; Image analysis; Image registration; Mesh generation; Probes; Shape; Elastic; finite element; m-rep; prostate; registration; Algorithms; Artificial Intelligence; Computer Simulation; Elasticity; Finite Element Analysis; Humans; Imaging, Three-Dimensional; Male; Models, Biological; Pattern Recognition, Automated; Prostatic Neoplasms; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2007.898810
  • Filename
    4336172