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.
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
https://hal.archives-ouvertes.fr/hal-01395487
Contributeur : Kilian Hett <>
Soumis le : jeudi 10 novembre 2016 - 17:12:52
Dernière modification le : jeudi 17 novembre 2016 - 14:12:24
Document(s) archivé(s) le : lundi 20 mars 2017 - 22:06:48
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>
