• DocumentCode
    2805596
  • Title

    4th order diffusion tensor interpolationwith divergence and curl constrained Bézier patches

  • Author

    Yassine, Inas ; McGraw, Tim

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    634
  • Lastpage
    637
  • Abstract
    We present a tensor field interpolation method based on tensor-valued Bezier patches. The control points of the patch are determined by imposing physical constraints on the interpolated field by constraining the divergence and curl of the tensor field. The method generalizes to Cartesian tensors of all orders. Solving for the control points requires the solution of a sparse linear system. Results are presented for order 2 and 4 tensors and comparisons are made with linear interpolation and a previously proposed subdivision scheme.
  • Keywords
    biomedical MRI; interpolation; medical image processing; tensors; 4th order diffusion tensor interpolation; Cartesian tensors; control points; curl constrained Bezier patches; divergence constrained Bezier patches; sparse linear system; Biomedical image processing; Computer science; Control systems; Diffusion processes; Diffusion tensor imaging; Interpolation; Linear systems; Magnetic resonance imaging; Spline; Tensile stress; Biomedical image processing; Diffusion processes; Interpolation; Magnetic resonance imaging; Spline functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193127
  • Filename
    5193127