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
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