Robust regression methods for computer vision: a review
International Journal of Computer Vision
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Multimodal Non-rigid Warping for Correction of Distortions in Functional MRI
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
A comparison of the cingulum tract in ALS-B patients and controls using kernel matching
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Adaptive noise filtering for accurate and precise iffusion estimation in fiber crossings
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
| Hi-index | 0.00 |
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 get rid of outlier related artefacts. Several experiments prove that the whole procedure highly improves the quality of the final diffusion maps.