title: Clinical Application of Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples (A-Glyph LIC).
abstract: Recently, a fiber visualization method for high-angular resolution diffusion-weighted magnetic resonance imaging (MRI) data was proposed using a multiple-kernel line integral convolution (LIC) algorithm and an anisotropic spot pattern. This processing routine leads to high contrast color-coded LIC maps that are capable of visualizing local anisotropy information and regional fiber architecture. In this paper, we evaluate and validate this method by applying it to simulated datasets and to in vivo diffusion MRI data of children and adults with different disease conditions and healthy volunteers. Compared to routine clinical fiber visualization (color-coded fractional anisotropy, FA maps, and fiber tractography), it has the advantage of visualizing complex local fiber architecture in a fully automated way. The results indicate that this method is capable of reliably delineating normal fiber architecture and fibers infiltrated, displaced, or disrupted by lesions and is therefore a promising tool in the clinical context.
authors.affiliation: University of Applied Sciences Stralsund, Zur Schwedenschanze 15, 18435, Stralsund, Germany. mark.hoeller@fh-stralsund.de.
authors.forename: M
authors.initials: M
authors.lastname: Höller
authors.affiliation: University of Applied Sciences Stralsund, Zur Schwedenschanze 15, 18435, Stralsund, Germany.
authors.forename: H-H
authors.initials: HH
authors.lastname: Ehricke
authors.affiliation: Department of Neurodegenerative Diseases, Center for Neurology and Hertie-Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany.
authors.forename: M
authors.initials: M
authors.lastname: Synofzik
authors.affiliation: Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, MR Research Group, Tübingen, Germany.
authors.forename: U
authors.initials: U
authors.lastname: Klose
authors.affiliation: Experimental Pediatric Neuroimaging, Department of Pediatric Neurology & Developmental Medicine, University Children's Hospital, Tübingen, Germany.
authors.forename: S
authors.initials: S
authors.lastname: Groeschel
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D016880:Anisotropy; D001921:Brain / Q000000981:diagnostic imaging*; D002648:Child; D038524:Diffusion Magnetic Resonance Imaging; D056324:Diffusion Tensor Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D009413:Nerve Fibers, Myelinated
keywords: Diffusion MRI; HARDI; Line integral convolution; Signal processing; Visualization