title: Longitudinal change detection: inference on the diffusion tensor along white-matter pathways.
abstract: Diffusion tensor magnetic resonance imaging (DT-MRI) tractography allows to probe brain connections in vivo. This paper presents a change detection framework that relies on white-matter pathways with application to neuromyelitis optica (NMO). The objective is to detect global or local fiber diffusion property modifications between two longitudinal DT-MRI acquisitions of a patient. To this end, estimation and testing tools on tensors along the white-matter pathways are considered. Two tests are implemented: a pointwise test that compares at each sampling point of the fiber bundle the tensor populations of the two exams in the cross section of the bundle and a fiberwise test that compares paired tensors along all the fiber bundle. Experiments on both synthetic and real data highlight the benefit of considering fiber based statistical tests compared to the standard voxelwise strategy.
authors: University of Strasbourg, LSIIT, UMR 7005, CNRS, France. grigis@unistra.fr
authors: Antoine
authors: A
authors: Grigis
authors: Vincent
authors: V
authors: Noblet
authors: Fréderic
authors: F
authors: Blanc
authors: Fabrice
authors: F
authors: Heitz
authors: Jérome
authors: J
authors: de Seze
authors: Jean-Paul
authors: JP
authors: Armspach
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology; D016000:Cluster Analysis; D003198:Computer Simulation; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D015233:Models, Statistical; D015999:Multivariate Analysis; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D009417:Nerve Tissue / Q000473:pathology; D009471:Neuromyelitis Optica / Q000473:pathology*