| Type de publication : |
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Articles dans des revues avec comité de lecture |
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| Domaine : |
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Sciences du Vivant/Ingénierie biomédicale/Imagerie
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| Titre : |
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Distortion correction and robust tensor estimation for MR diffusion imaging. |
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| Auteur(s) : |
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J.-F. Mangin 1, 2, 3, C. Poupon 4, C. Clark, D. Le Bihan 2, 5, 6, 7, I. Bloch 8, 9, 10 |
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| Laboratoire : |
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| Résumé : |
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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. |
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Langue du texte
intégral : |
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Anglais |
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| Journal : |
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| Medical Image Analysis (Med Image Anal) |
| Publisher |
Elsevier |
| ISSN |
1361-8415 |
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| Audience : |
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internationale |
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| Date de publication : |
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09/2002 |
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| Volume : |
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6 |
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| Numéro : |
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3 |
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| Page, identifiant, ... : |
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191-8 |
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| Descripteur(s) MeSH : |
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Artifacts – Brain – Diffusion Magnetic Resonance Imaging – Humans – Image Enhancement – Models – Statistical – Quality Control – Reproducibility of Results – Sensitivity and Specificity – Statistics as Topic – Stochastic Processes |
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