Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples
Joint Authors
Klose, Uwe
Höller, Mark
Otto, Kay-M.
Groeschel, Samuel
Ehricke, Hans-H.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Höller, Mark& Otto, Kay-M.& Klose, Uwe& Groeschel, Samuel& Ehricke, Hans-H.. 2014. Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples. International Journal of Biomedical Imaging،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1036316
Modern Language Association (MLA)
Höller, Mark…[et al.]. Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples. International Journal of Biomedical Imaging No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1036316
American Medical Association (AMA)
Höller, Mark& Otto, Kay-M.& Klose, Uwe& Groeschel, Samuel& Ehricke, Hans-H.. Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples. International Journal of Biomedical Imaging. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1036316
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036316