title: Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles.
abstract: Processing of longitudinal diffusion tensor imaging (DTI) data is a crucial challenge to better understand pathological mechanisms of complex brain diseases such as multiple sclerosis (MS) where white-matter (WM) fiber bundles are variably altered by inflammatory events. In this study, we propose a new fully automated method to detect longitudinal changes in diffusivity metrics along WM fiber bundles. The proposed method is divided in three main parts: 1) preprocessing of longitudinal diffusion acquisitions, 2) WM fiber-bundle extraction, and 3) application of nonnegative matrix factorization and density-based local outliers algorithms to detect and delineate longitudinal variations appearing in the cross section of the WM fiber bundle. In order to validate our method, we introduce a new model to simulate real longitudinal changes based on a generalized Gaussian probability density function. Moreover, we applied our method on longitudinal data. High level of performances were obtained for the detection of small longitudinal changes along the WM fiber bundles in MS patients.
authors: CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université de Lyon 1, Villeurbanne, France.
authors: Claudio
authors: C
authors: Stamile
authors: CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université de Lyon 1, Villeurbanne, France.
authors: Gabriel
authors: G
authors: Kocevar
authors: CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université de Lyon 1, Villeurbanne, France.
authors: Francois
authors: F
authors: Cotton
authors: PSI Processing Speech and Images, Department of Electrical Engineering (ESAT), Katholieke Universiteit Leuven, Leuven, Belgium.
authors: Frederik
authors: F
authors: Maes
authors: CREATIS, CNRS UMR5220, INSERM U1044, INSA-Lyon, Université de Lyon 1, Villeurbanne, France.
authors: Dominique
authors: D
authors: Sappey-Marinier
authors: Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Katholieke Universiteit Leuven, Leuven, Belgium.
authors: Sabine
authors: S
authors: Van Huffel
mesh_terms: D000328:Adult; D056324:Diffusion Tensor Imaging / Q000379:methods*; D018450:Disease Progression; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000000981:diagnostic imaging / Q000473:pathology; D066127:White Matter / Q000000981:diagnostic imaging* / Q000473:pathology*