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Conference Papers Year : 2016

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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Dates and versions

hal-01395487 , version 1 (10-11-2016)

Identifiers

  • HAL Id : hal-01395487 , version 1

Cite

Kilian Hett, Vinh-Thong Ta, Rémi Giraud, Mary Mondino, José V 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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