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Open Access 01-09-2017 | Original Article

Clinical Application of Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples (A-Glyph LIC)

Authors: M. Höller, H.-H. Ehricke, M. Synofzik, U. Klose, S. Groeschel

Published in: Clinical Neuroradiology | Issue 3/2017

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.

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Title: Clinical Application of Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples (A-Glyph LIC)
Authors: M. Höller
H.-H. Ehricke
M. Synofzik
U. Klose
S. Groeschel
Publication date: 01-09-2017
Publisher: Springer Berlin Heidelberg
Published in: Clinical Neuroradiology / Issue 3/2017
Print ISSN: 1869-1439
Electronic ISSN: 1869-1447
DOI: https://doi.org/10.1007/s00062-015-0486-8

At a glance: The STEP trials

Springer Medicine

Clinical Application of Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples (A-Glyph LIC)

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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