title: Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease.
abstract: In this study we introduce the regional flux analysis, a novel approach to deformation based morphometry based on the Helmholtz decomposition of deformations parameterized by stationary velocity fields. We use the scalar pressure map associated to the irrotational component of the deformation to discover the critical regions of volume change. These regions are used to consistently quantify the associated measure of volume change by the probabilistic integration of the flux of the longitudinal deformations across the boundaries. The presented framework unifies voxel-based and regional approaches, and robustly describes the volume changes at both group-wise and subject-specific level as a spatial process governed by consistently defined regions. Our experiments on the large cohorts of the ADNI dataset show that the regional flux analysis is a powerful and flexible instrument for the study of Alzheimer's disease in a wide range of scenarios: cross-sectional deformation based morphometry, longitudinal discovery and quantification of group-wise volume changes, and statistically powered and robust quantification of hippocampal and ventricular atrophy.
authors.affiliation: Asclepios Research Project, INRIA Sophia Antipolis, 2004 route des Lucioles BP 93, 06 902 Sophia Antipolis, France. Electronic address: marco.lorenzi@inria.fr.
authors.forename: M
authors.initials: M
authors.lastname: Lorenzi
authors.affiliation: Asclepios Research Project, INRIA Sophia Antipolis, 2004 route des Lucioles BP 93, 06 902 Sophia Antipolis, France. Electronic address: nicholas.ayache@inria.fr.
authors.forename: N
authors.initials: N
authors.lastname: Ayache
authors.affiliation: Asclepios Research Project, INRIA Sophia Antipolis, 2004 route des Lucioles BP 93, 06 902 Sophia Antipolis, France. Electronic address: xavier.pennec@inria.fr.
authors.forename: X
authors.initials: X
authors.lastname: Pennec
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000473:pathology*; D019412:Anatomy, Cross-Sectional; D001284:Atrophy / Q000473:pathology; D001921:Brain / Q000473:pathology*; D002552:Cerebral Ventricles / Q000473:pathology; D016208:Databases, Factual; D018450:Disease Progression; D006624:Hippocampus / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted
keywords: Alzheimer's disease; Demons; Longitudinal atrophy; Non-linear registration; Optimization