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ISBI
2002
IEEE

Statistically-based reorientation of diffusion tensor field

14 years 11 months ago
Statistically-based reorientation of diffusion tensor field
This paper presents a new method for warping of diffusion tensor fields. The proper reorientation of a tensor field requires knowledge of the underlying fiber orientation, which is not known a priori. Accordingly, a probabilistic representation of the fiber direction is adopted and used in a Procrustean estimation of the rotational component of the warping field. The estimated rotational component, along with the warping field, are then used to warp and properly reorient a tensor field. Results from diffusion tensor MR images demonstrate a dramatic improvement of signal to noise ratio after statistical averaging of properly registered tensor fields across 9 individuals.
Dongrong Xu, Susumu Mori, Dinggang Shen, Christos
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2002
Where ISBI
Authors Dongrong Xu, Susumu Mori, Dinggang Shen, Christos Davatzikos
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