title: Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples.
abstract: Line integral convolution (LIC) is used as a texture-based technique in computer graphics for flow field visualization. In diffusion tensor imaging (DTI), LIC bridges the gap between local approaches, for example directionally encoded fractional anisotropy mapping and techniques analyzing global relationships between brain regions, such as streamline tracking. In this paper an advancement of a previously published multikernel LIC approach for high angular resolution diffusion imaging visualization is proposed: a novel sampling scheme is developed to generate anisotropic glyph samples that can be used as an input pattern to the LIC algorithm. Multicylindrical glyph samples, derived from fiber orientation distribution (FOD) functions, are used, which provide a method for anisotropic packing along integrated fiber lines controlled by a uniform random algorithm. This allows two- and three-dimensional LIC maps to be generated, depicting fiber structures with excellent contrast, even in regions of crossing and branching fibers. Furthermore, a color-coding model for the fused visualization of slices from T1 datasets together with directionally encoded LIC maps is proposed. The methodology is evaluated by a simulation study with a synthetic dataset, representing crossing and bending fibers. In addition, results from in vivo studies with a healthy volunteer and a brain tumor patient are presented to demonstrate the method's practicality.
authors.affiliation: Institute for Applied Computer Science (IACS), Stralsund University, Zur Schwedenschanze 15, 18435 Stralsund, Germany.
authors.forename: Mark
authors.identifier: 0000-0003-1274-1386
authors.initials: M
authors.lastname: Höller
authors.affiliation: Institute for Applied Computer Science (IACS), Stralsund University, Zur Schwedenschanze 15, 18435 Stralsund, Germany.
authors.forename: Kay-M
authors.initials: KM
authors.lastname: Otto
authors.affiliation: MR Research Group, Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany.
authors.forename: Uwe
authors.identifier: 0000-0001-5236-3450
authors.initials: U
authors.lastname: Klose
authors.affiliation: Department of Pediatric Neurology & Developmental Medicine and Experimental Pediatric Neuroimaging, University Children's Hospital, Hoppe-Seyler-Straße 1, 72076 Tübingen, Germany.
authors.forename: Samuel
authors.identifier: 0000-0002-2706-7163
authors.initials: S
authors.lastname: Groeschel
authors.affiliation: Institute for Applied Computer Science (IACS), Stralsund University, Zur Schwedenschanze 15, 18435 Stralsund, Germany.
authors.forename: Hans-H
authors.initials: HH
authors.lastname: Ehricke