Quantifying anisotropy and fiber orientation in human brain histological sections
Diffusion weighted imaging (DWI) has provided unparalleled insight into the microscopic structure and organization of the central nervous system. Diffusion tensor imaging (DTI) and other models of the diffusion MRI signal extract microstructural properties of tissues with relevance to the normal an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-02-01
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| Series: | Frontiers in Integrative Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnint.2013.00003/full |
| _version_ | 1798044298586882048 |
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| author | Matthew D Budde Jacopo eAnnese Jacopo eAnnese |
| author_facet | Matthew D Budde Jacopo eAnnese Jacopo eAnnese |
| author_sort | Matthew D Budde |
| collection | DOAJ |
| description | Diffusion weighted imaging (DWI) has provided unparalleled insight into the microscopic structure and organization of the central nervous system. Diffusion tensor imaging (DTI) and other models of the diffusion MRI signal extract microstructural properties of tissues with relevance to the normal and injured brain. Despite the prevalence of such techniques and applications, accurate and large-scale validation has proven difficult, particularly in the human brain. In this report, human brain sections obtained from a digital public brain bank were employed to quantify anisotropy and fiber orientation using structure tensor analysis. The derived maps depict the intricate complexity of white matter fibers at a resolution not attainable with current DWI experiments. Moreover, the effects of multiple fiber bundles (i.e. crossing fibers) and intravoxel fiber dispersion were demonstrated. Examination of the cortex and hippocampal regions validated specific features of previous in vivo and ex vivo DTI studies of the human brain. Despite the limitation to two dimensions, the resulting images provide a unique depiction of white matter organization at resolutions currently unattainable with DWI. The method of analysis may be used to validate tissue properties derived from DTI and alternative models of the diffusion signal. |
| first_indexed | 2024-04-11T23:01:33Z |
| format | Article |
| id | doaj.art-371a3f0ec58942829e5209c63da37b0f |
| institution | Directory Open Access Journal |
| issn | 1662-5145 |
| language | English |
| last_indexed | 2024-04-11T23:01:33Z |
| publishDate | 2013-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Integrative Neuroscience |
| spelling | doaj.art-371a3f0ec58942829e5209c63da37b0f2022-12-22T03:58:07ZengFrontiers Media S.A.Frontiers in Integrative Neuroscience1662-51452013-02-01710.3389/fnint.2013.0000339383Quantifying anisotropy and fiber orientation in human brain histological sectionsMatthew D Budde0Jacopo eAnnese1Jacopo eAnnese2Medical College of WisconsinUniversity of California San DiegoThe Brain ObservatoryDiffusion weighted imaging (DWI) has provided unparalleled insight into the microscopic structure and organization of the central nervous system. Diffusion tensor imaging (DTI) and other models of the diffusion MRI signal extract microstructural properties of tissues with relevance to the normal and injured brain. Despite the prevalence of such techniques and applications, accurate and large-scale validation has proven difficult, particularly in the human brain. In this report, human brain sections obtained from a digital public brain bank were employed to quantify anisotropy and fiber orientation using structure tensor analysis. The derived maps depict the intricate complexity of white matter fibers at a resolution not attainable with current DWI experiments. Moreover, the effects of multiple fiber bundles (i.e. crossing fibers) and intravoxel fiber dispersion were demonstrated. Examination of the cortex and hippocampal regions validated specific features of previous in vivo and ex vivo DTI studies of the human brain. Despite the limitation to two dimensions, the resulting images provide a unique depiction of white matter organization at resolutions currently unattainable with DWI. The method of analysis may be used to validate tissue properties derived from DTI and alternative models of the diffusion signal.http://journal.frontiersin.org/Journal/10.3389/fnint.2013.00003/fullDiffusion Tensor ImagingValidationwhite matterFiber tractsmyeloarchitecturestructure tensor analysis |
| spellingShingle | Matthew D Budde Jacopo eAnnese Jacopo eAnnese Quantifying anisotropy and fiber orientation in human brain histological sections Frontiers in Integrative Neuroscience Diffusion Tensor Imaging Validation white matter Fiber tracts myeloarchitecture structure tensor analysis |
| title | Quantifying anisotropy and fiber orientation in human brain histological sections |
| title_full | Quantifying anisotropy and fiber orientation in human brain histological sections |
| title_fullStr | Quantifying anisotropy and fiber orientation in human brain histological sections |
| title_full_unstemmed | Quantifying anisotropy and fiber orientation in human brain histological sections |
| title_short | Quantifying anisotropy and fiber orientation in human brain histological sections |
| title_sort | quantifying anisotropy and fiber orientation in human brain histological sections |
| topic | Diffusion Tensor Imaging Validation white matter Fiber tracts myeloarchitecture structure tensor analysis |
| url | http://journal.frontiersin.org/Journal/10.3389/fnint.2013.00003/full |
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