title: Axon diameter mapping in the presence of orientation dispersion with diffusion MRI.
abstract: Direct measurement of tissue microstructure with diffusion MRI offers a new class of markers, such as axon diameters, that give more specific information about tissue than measures derived from diffusion tensor imaging. The existing techniques of this kind assume a single axon orientation in the tissue model, which may be a reasonable approximation only for the most coherently oriented brain white matter, such as the corpus callosum. For most other areas, orientation dispersion is not negligible and, if unaccounted for, leads to overestimation of the axon diameters, prohibiting their accurate mapping over the whole brain. Here we propose a new model that captures the effect of orientation dispersion explicitly. A numerical scheme is developed to compute the diffusion signal prescribed by the proposed model efficiently, which supports the simultaneous estimation of the axon diameter and orientation dispersion. Synthetic data experiments demonstrate that the new model provides an axon diameter index that is robust to the presence of orientation dispersion. Results on in vivo human data show reduced axon diameter index and better agreement with histology compared to previous methods suggesting improvements in the axon diameter estimate.
authors.affiliation: Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK. g.zhang@cs.ucl.ac.uk
authors.forename: Hui
authors.initials: H
authors.lastname: Zhang
authors.forename: Penny L
authors.initials: PL
authors.lastname: Hubbard
authors.forename: Geoff J M
authors.initials: GJ
authors.lastname: Parker
authors.forename: Daniel C
authors.initials: DC
authors.lastname: Alexander
mesh_terms: D000328:Adult; D000465:Algorithms; D016880:Anisotropy; D001369:Axons / Q000502:physiology / Q000648:ultrastructure*; D001921:Brain / Q000033:anatomy & histology / Q000166:cytology; D003198:Computer Simulation; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological