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

Kilian Hett 1, 2 Vinh-Thong Ta 3, 1, 2 Rémi Giraud 1, 2 Mary Mondino 1, 2 José Manjón 4, 1, 2 Pierrick Coupé 2, 1
1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 PICTURA
LaBRI - Laboratoire Bordelais de Recherche en Informatique
3 Bordeaux INP
4 ITACA
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.
Keywords : DWI Mild Cognitive Impairment Patch-based grading Alzheimer's disease classication DTI
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Communication dans un congrès
Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Oct 2016, Athens, Greece. 9993 2016, 2016, Patch-Based Techniques in Medical Imaging
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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. 9993 2016, 2016, Patch-Based Techniques in Medical Imaging. 〈hal-01395487〉

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