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...
Published in: | Frontiers in Neuroanatomy |
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2016
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ftfzjuelichnvdb:oai:juser.fz-juelich.de:808906 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 DE 2016 https://juser.fz-juelich.de/record/808906 https://juser.fz-juelich.de/search?p=id:%22FZJ-2016-02436%22 eng eng Frontiers Research Foundation info:eu-repo/semantics/altIdentifier/hdl/2128/10431 info:eu-repo/semantics/altIdentifier/wos/WOS:000374307100001 info:eu-repo/semantics/altIdentifier/pmid/pmid:27147981 info:eu-repo/semantics/altIdentifier/doi/10.3389/fnana.2016.00040 info:eu-repo/semantics/altIdentifier/issn/1662-5129 info:eu-repo/grantAgreement/EC//604102 https://juser.fz-juelich.de/record/808906 https://juser.fz-juelich.de/search?p=id:%22FZJ-2016-02436%22 info:eu-repo/semantics/openAccess Frontiers in neuroanatomy 10, 40 (2016). doi:10.3389/fnana.2016.00040 info:eu-repo/classification/ddc/610 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2016 ftfzjuelichnvdb https://doi.org/10.3389/fnana.2016.00040 2022-10-02T22:16:56Z 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. Article in Journal/Newspaper hooded seal Forschungszentrum Jülich: JuSER (Juelich Shared Electronic Resources) Frontiers in Neuroanatomy 10 |
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Open Polar |
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Forschungszentrum Jülich: JuSER (Juelich Shared Electronic Resources) |
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ftfzjuelichnvdb |
language |
English |
topic |
info:eu-repo/classification/ddc/610 |
spellingShingle |
info:eu-repo/classification/ddc/610 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 |
topic_facet |
info:eu-repo/classification/ddc/610 |
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 |
Article in Journal/Newspaper |
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 Research Foundation |
publishDate |
2016 |
url |
https://juser.fz-juelich.de/record/808906 https://juser.fz-juelich.de/search?p=id:%22FZJ-2016-02436%22 |
op_coverage |
DE |
genre |
hooded seal |
genre_facet |
hooded seal |
op_source |
Frontiers in neuroanatomy 10, 40 (2016). doi:10.3389/fnana.2016.00040 |
op_relation |
info:eu-repo/semantics/altIdentifier/hdl/2128/10431 info:eu-repo/semantics/altIdentifier/wos/WOS:000374307100001 info:eu-repo/semantics/altIdentifier/pmid/pmid:27147981 info:eu-repo/semantics/altIdentifier/doi/10.3389/fnana.2016.00040 info:eu-repo/semantics/altIdentifier/issn/1662-5129 info:eu-repo/grantAgreement/EC//604102 https://juser.fz-juelich.de/record/808906 https://juser.fz-juelich.de/search?p=id:%22FZJ-2016-02436%22 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3389/fnana.2016.00040 |
container_title |
Frontiers in Neuroanatomy |
container_volume |
10 |
_version_ |
1766024856761008128 |