title: An introduction to model-independent diffusion magnetic resonance imaging.
abstract: q-Space-based techniques such as diffusion spectrum imaging, q-ball imaging, and their variations have been used extensively in research for their desired capability to delineate complex neuronal architectures such as multiple fiber crossings in each of the image voxels. The purpose of this article was to provide an introduction to the q-space formalism and the principles of basic q-space techniques together with the discussion on the advantages as well as challenges in translating these techniques into the clinical environment. A review of the currently used q-space-based protocols in clinical research is also provided.
authors.affiliation: Department of Radiology, Stanford University, Stanford, CA 94304, USA. anhvan@stanford.edu
authors.forename: Anh T
authors.initials: AT
authors.lastname: Van
authors.forename: Cristina
authors.initials: C
authors.lastname: Granziera
authors.forename: Roland
authors.initials: R
authors.lastname: Bammer
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D001931:Brain Mapping / Q000379:methods*; D003287:Contrast Media; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods; D008959:Models, Neurological
chemical_list: D003287:Contrast Media