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Patch-based DTI grading: Application to Alzheimer's disease classication

Abstract : Early diagnosis is one of the most important challenges related to Alzheimer's disease (AD). To address this issue, numerous studies proposed biomarkers based on anatomical MRI. Among them, patch-based grading demonstrated state-of-the-art results when applied to T1-weighted MRI. In this work, we propose to use a similar framework on dierent diusion parameters extracted from DTI. We also propose to use a fast patch-based search strategy to provide novel biomarkers for the early detection of AD. We intensively compare our new grading-based DTI features with basic MRI/DTI biomarkers and evaluate our method within a cross validation classication framework. Finally, we demonstrate that the proposed biomarkers obtain competitive results for the identication of the dierent stages of AD.
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Contributor : Kilian Hett <>
Submitted on : Thursday, November 10, 2016 - 5:12:52 PM
Last modification on : Thursday, March 12, 2020 - 3:06:24 PM
Document(s) archivé(s) le : Monday, March 20, 2017 - 10:06:48 PM


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  • HAL Id : hal-01395487, version 1



Kilian Hett, Vinh-Thong Ta, Rémi Giraud, Mary Mondino, José Manjón, et al.. Patch-based DTI grading: Application to Alzheimer's disease classication. Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Oct 2016, Athens, Greece. ⟨hal-01395487⟩



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