Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging
Research of the human brain connectome requires multiscale approaches derived from independent imaging methods ideally applied to the same object. Hence, comprehensible strategies for data integration across modalities and across scales are essential. We have successfully established a concept to br...
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ftpubmed:oai:pubmedcentral.nih.gov:4835454 2023-05-15T16:34:49+02:00 Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging Axer, Markus Strohmer, Sven Gräßel, David Bücker, Oliver Dohmen, Melanie Reckfort, Julia Zilles, Karl Amunts, Katrin 2016-04-19 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835454/ https://doi.org/10.3389/fnana.2016.00040 en eng Frontiers Media S.A. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835454/ http://dx.doi.org/10.3389/fnana.2016.00040 Copyright © 2016 Axer, Strohmer, Gräßel, Bücker, Dohmen, Reckfort, Zilles and Amunts. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. CC-BY Neuroscience Text 2016 ftpubmed https://doi.org/10.3389/fnana.2016.00040 2016-05-08T00:19:33Z Research of the human brain connectome requires multiscale approaches derived from independent imaging methods ideally applied to the same object. Hence, comprehensible strategies for data integration across modalities and across scales are essential. We have successfully established a concept to bridge the spatial scales from microscopic fiber orientation measurements based on 3D-Polarized Light Imaging (3D-PLI) to meso- or macroscopic dimensions. By creating orientation distribution functions (pliODFs) from high-resolution vector data via series expansion with spherical harmonics utilizing high performance computing and supercomputing technologies, data fusion with Diffusion Magnetic Resonance Imaging has become feasible, even for a large-scale dataset such as the human brain. Validation of our approach was done effectively by means of two types of datasets that were transferred from fiber orientation maps into pliODFs: simulated 3D-PLI data showing artificial, but clearly defined fiber patterns and real 3D-PLI data derived from sections through the human brain and the brain of a hooded seal. Text hooded seal PubMed Central (PMC) Frontiers in Neuroanatomy 10 |
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Neuroscience Axer, Markus Strohmer, Sven Gräßel, David Bücker, Oliver Dohmen, Melanie Reckfort, Julia Zilles, Karl Amunts, Katrin Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging |
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Neuroscience |
description |
Research of the human brain connectome requires multiscale approaches derived from independent imaging methods ideally applied to the same object. Hence, comprehensible strategies for data integration across modalities and across scales are essential. We have successfully established a concept to bridge the spatial scales from microscopic fiber orientation measurements based on 3D-Polarized Light Imaging (3D-PLI) to meso- or macroscopic dimensions. By creating orientation distribution functions (pliODFs) from high-resolution vector data via series expansion with spherical harmonics utilizing high performance computing and supercomputing technologies, data fusion with Diffusion Magnetic Resonance Imaging has become feasible, even for a large-scale dataset such as the human brain. Validation of our approach was done effectively by means of two types of datasets that were transferred from fiber orientation maps into pliODFs: simulated 3D-PLI data showing artificial, but clearly defined fiber patterns and real 3D-PLI data derived from sections through the human brain and the brain of a hooded seal. |
format |
Text |
author |
Axer, Markus Strohmer, Sven Gräßel, David Bücker, Oliver Dohmen, Melanie Reckfort, Julia Zilles, Karl Amunts, Katrin |
author_facet |
Axer, Markus Strohmer, Sven Gräßel, David Bücker, Oliver Dohmen, Melanie Reckfort, Julia Zilles, Karl Amunts, Katrin |
author_sort |
Axer, Markus |
title |
Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging |
title_short |
Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging |
title_full |
Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging |
title_fullStr |
Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging |
title_full_unstemmed |
Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging |
title_sort |
estimating fiber orientation distribution functions in 3d-polarized light imaging |
publisher |
Frontiers Media S.A. |
publishDate |
2016 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835454/ https://doi.org/10.3389/fnana.2016.00040 |
genre |
hooded seal |
genre_facet |
hooded seal |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835454/ http://dx.doi.org/10.3389/fnana.2016.00040 |
op_rights |
Copyright © 2016 Axer, Strohmer, Gräßel, Bücker, Dohmen, Reckfort, Zilles and Amunts. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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CC-BY |
op_doi |
https://doi.org/10.3389/fnana.2016.00040 |
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Frontiers in Neuroanatomy |
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10 |
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1766024856935071744 |