A fast and rigorous anisotropic smoothing method for DT-MRI

被引：0
|
作者：
Castano-Moraga, C. A. [1 ,2 ]
Lenglet, C. [3 ]
Deriche, R. [3 ]
Ruiz-Alzola, J. [1 ]
机构：
[1] Univ Las Palmas Gran Canaria, Dept Senales & Comunicac, Ctr Tecnol Med, Campus Tafira S-N, Las Palmas Gran Canaria 35017, Spain
[2] Univ Las Palmas Gran Canaria, Dept Informat Syst, Campus Tafira S-N, Las Palmas Gran Canaria 35017, Spain
[3] Project Odyssee, INRIA, E-06902 Sophia Antipolis, France
来源：
2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 | 2006年
关键词：
D O I：
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中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Tensors are nowadays an increasing research domain in different areas, especially in image processing, motivated for example by DT-MRI (Diffusion Tensor Magnetic Resonance Imaging). In this paper, we exploit the theoretically well-founded differential geometrical properties of the space of multivariate normal distributions, where it is possible to define a Riemannian metric and express statistics on the manifold of symmetric positive definite matrices. We focus on the contributions of these tools to the anisotropic filtering and regularization of tensor fields. We present promising results on synthetic and real DT-MRI data.
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页码：93 / +
页数：2
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