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
fDate :
June 28 2009-July 1 2009
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;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193127