• DocumentCode
    2521824
  • Title

    QUANTITATIVE EVALUATION OF DEFORMABLE IMAGE REGISTRATION

  • Author

    Zhong, Hualiang ; Siebers, Jeffrey V.

  • Author_Institution
    Dept. of Radiat. Oncology, Virginia Commonwealth Univ., Richmond, VA
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    724
  • Lastpage
    727
  • Abstract
    In this paper, a concept based on unbalanced energy is proposed to evaluate deformable registration algorithms. The new concept is demonstrated through the comparison of the ITK "demons" algorithm and thin-plate spline interpolation, performed on a prostate patient\´s CT images. The resultant displacement vector fields are substituted into a finite element based elastic framework to derive the unbalanced energy at each element. The detection of unbalanced energy coupled with a conditioned finite element model provides a quantitative assessment of each registration instance. The requirement of boundary constraints in a traditional mechanical model has been removed in the calculation of unbalanced energy. This method is automatic and suitable to evaluate deformable registration in a clinical setting.
  • Keywords
    computerised tomography; finite element analysis; image registration; medical image processing; CT images; deformable image registration; finite element model; prostate; thin-plate spline interpolation; unbalanced energy; Biological tissues; Computed tomography; Deformable models; Finite element methods; Image registration; Interpolation; Medical treatment; Oncology; Spline; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356954
  • Filename
    4193388