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CLC number: TP391.41

On-line Access: 2012-01-19

Received: 2011-04-17

Revision Accepted: 2011-06-23

Crosschecked: 2011-12-29

Cited: 1

Clicked: 6766

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.2 P.90-98


Diffusion tensor interpolation profile control using non-uniform motion on a Riemannian geodesic

Author(s):  Chang-Il Son, Shun-ren Xia

Affiliation(s):  MOE Key Laboratory of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   srxia@zju.edu.cn

Key Words:  Diffusion tensor (DT), DT imaging (DTI), DT interpolation, Interpolation profile control, Riemannian geodesic

Chang-Il Son, Shun-ren Xia. Diffusion tensor interpolation profile control using non-uniform motion on a Riemannian geodesic[J]. Journal of Zhejiang University Science C, 2012, 13(2): 90-98.

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%T Diffusion tensor interpolation profile control using non-uniform motion on a Riemannian geodesic
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T1 - Diffusion tensor interpolation profile control using non-uniform motion on a Riemannian geodesic
A1 - Chang-Il Son
A1 - Shun-ren Xia
J0 - Journal of Zhejiang University Science C
VL - 13
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SP - 90
EP - 98
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Y1 - 2012
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100098

Tensor interpolation is a key step in the processing algorithms of diffusion tensor imaging (DTI), such as registration and tractography. The diffusion tensor (DT) in biological tissues is assumed to be positive definite. However, the tensor interpolations in most clinical applications have used a Euclidian scheme that does not take this assumption into account. Several Riemannian schemes were developed to overcome this limitation. Although each of the Riemannian schemes uses different metrics, they all result in a ‘fixed’ interpolation profile that cannot adapt to a variety of diffusion patterns in biological tissues. In this paper, we propose a DT interpolation scheme to control the interpolation profile, and explore its feasibility in clinical applications. The profile controllability comes from the non-uniform motion of interpolation on the riemannian geodesic. The interpolation experiment with medical DTI data shows that the profile control improves the interpolation quality by assessing the reconstruction errors with the determinant error, Euclidean norm, and Riemannian norm.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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