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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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https://hal.archives-ouvertes.fr/hal-01395487
Contributor : Kilian Hett <>
Submitted on : Thursday, November 10, 2016 - 5:12:52 PM
Last modification on : Monday, May 10, 2021 - 5:32:02 PM
Long-term archiving on: : Monday, March 20, 2017 - 10:06:48 PM

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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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