58247.pdf

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...

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Έκδοση: InTechOpen 2021
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spelling oapen-20.500.12657-492642021-11-23T14:05:21Z Chapter 3D Polarized Light Imaging Portrayed: Visualization of Fiber Architecture Derived from 3D-PLI Schubert, Nicole Axer, Markus Pietrzyk, Uwe Amunts, Katrin polarized light imaging, scientific visualization, neuroinformatics, neuroimaging and fiber architecture bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences 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. 2021-06-02T10:10:53Z 2021-06-02T10:10:53Z 2018 chapter ONIX_20210602_10.5772/intechopen.72532_378 https://library.oapen.org/handle/20.500.12657/49264 eng application/pdf n/a 58247.pdf InTechOpen 10.5772/intechopen.72532 10.5772/intechopen.72532 09f6769d-48ed-467d-b150-4cf2680656a1 f1209042-b1d5-45a6-82b3-225d50f736ca 785907 720270 H2020 Science with and for Society H2020 WISSENSCHAFT MIT DER UND FÜR DIE GESELLSCHAFT open access
institution OAPEN
collection DSpace
language English
description 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.
title 58247.pdf
spellingShingle 58247.pdf
title_short 58247.pdf
title_full 58247.pdf
title_fullStr 58247.pdf
title_full_unstemmed 58247.pdf
title_sort 58247.pdf
publisher InTechOpen
publishDate 2021
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