title: MesoFT: unifying diffusion modelling and fiber tracking.
abstract: One overarching challenge of clinical magnetic resonance imaging (MRI) is to quantify tissue structure at the cellular scale of micrometers, based on an MRI acquisition with a millimeter resolution. Diffusion MRI (dMRI) provides the strongest sensitivity to the cellular structure. However, interpreting dMRI measurements has remained a highly ill-posed inverse problem. Here we propose a framework that resolves the above challenge for human white matter fibers, by unifying intra-voxel mesoscopic modeling with global fiber tractography. Our algorithm is based on a Simulated Annealing approach which simultaneously optimizes diffusion parameters and fiber locations. Each fiber carries its by their individual set of diffusion parameters which allows to link them structural relationships.
authors.forename: Marco
authors.initials: M
authors.lastname: Reisert
authors.forename: V G
authors.initials: VG
authors.lastname: Kiselev
authors.forename: Bibek
authors.initials: B
authors.lastname: Dihtal
authors.forename: Elias
authors.initials: E
authors.lastname: Kellner
authors.forename: D S
authors.initials: DS
authors.lastname: Novikov
mesh_terms: D001921:Brain / Q000166:cytology*; D003198:Computer Simulation; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008953:Models, Anatomic; D008959:Models, Neurological; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software