Contribution to a book FZJ-2018-01973

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3D Polarized Light Imaging Portrayed: Visualization of Fiber Architecture Derived from 3D-PLI

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2018
InTech -

High-Resolution Neuroimaging - Basic Physical Principles and Clinical Applications / Halefoğlu, Ahmet Mesrur (Editor) ; : InTech, , Chapter 3 ; ISBN: 978-953-51-3865-5 ; doi:10.5772/intechopen.68268 - : InTech 29-46 () [10.5772/intechopen.72532]

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Abstract: 3D polarized light imaging (3D-PLI) is a neuroimaging technique that has recently opened up new avenues to study the complex architecture of nerve fibers in postmortem brains at microscopic scales. In a specific voxel-based analysis, each voxel is assigned a single 3D fiber orientation vector. This leads to comprehensive 3D vector fields. In order to inspect and analyze such high-resolution fiber orientation vector field, also in combination with complementary microscopy measurements, appropriate visualization techniques are essential to overcome several challenges, such as the massive data sizes, the large amount of both unique and redundant information at different scales, or the occlusion issues of inner structures by outer layers. Here, we introduce a comprehensive software tool that is able to visualize all information of a typical 3D-PLI dataset in an adequate and sophisticated manner. This includes the visualization of (i) anatomic structural and fiber architectonic data in one representation, (ii) a large-scale fiber orientation vector field, and (iii) a clustered version of the field. Alignment of a 3D-PLI dataset to an appropriate brain atlas provides expert-based delineation, segmentation, and, ultimately, visualization of selected anatomical structures. By means of these techniques, a detailed analysis of the complex fiber architecture in 3D is feasible.


Contributing Institute(s):
  1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
  2. Physik der Medizinischen Bildgebung (INM-4)
Research Program(s):
  1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
  2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
  3. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)

Appears in the scientific report 2018
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Creative Commons Attribution CC BY 3.0 ; OpenAccess
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 Record created 2018-03-19, last modified 2022-09-30