Distortion correction and robust tensor estimation for MR diffusion imaging

被引：153
|
作者：
Mangin, JF [1 ]
Poupon, C
Clark, C
Le Bihan, D
Bloch, I
机构：
[1] CEA, Serv Hosp Frederic Joliot, F-91401 Orsay, France
[2] ENST, CNRS, URA 820, Dept Signal & Images, Paris, France
[3] Inst Fed Rech 49, Paris, France
[4] GE Med Syst, Buc, France
来源：
MEDICAL IMAGE ANALYSIS | 2002年 / 6卷 / 03期
关键词：
registration; diffusion; distortion; tensor; robust;
D O I：
10.1016/S1361-8415(02)00079-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new procedure to estimate the diffusion tensor from a sequence of diffusion-weighted images. The first step of this procedure consists of the correction of the distortions usually induced by eddy-current related to the large diffusion-sensitizing gradients. This correction algorithm relies on the maximization of mutual information to estimate the three parameters of a geometric distortion model inferred from the acquisition principle. The second step of the procedure amounts to replacing the standard least squares-based approach by the Geman-McLure M-estimator, in order to reduce outlier-related artefacts. Several experiments prove that the whole procedure highly improves the quality of the final diffusion maps. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：191 / 198
页数：8
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