Computational Representation of White Matter Fiber Orientations
We present a new methodology based on directional data clustering to represent white matter fiber orientations in magnetic resonance analyses for high angular resolution diffusion imaging. A probabilistic methodology is proposed for estimating intravoxel principal fiber directions, based on clusteri...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2013/232143 |
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| author | Adelino R. Ferreira da Silva |
| author_facet | Adelino R. Ferreira da Silva |
| author_sort | Adelino R. Ferreira da Silva |
| collection | DOAJ |
| description | We present a new methodology based on directional data clustering to represent white matter fiber orientations in magnetic resonance analyses for high angular resolution diffusion imaging. A probabilistic methodology is proposed for estimating intravoxel principal fiber directions, based on clustering directional data arising from orientation distribution function (ODF) profiles. ODF reconstructions are used to estimate intravoxel fiber directions using mixtures of von Mises-Fisher distributions. The method focuses on clustering data on the unit sphere, where complexity arises from representing ODF profiles as directional data. The proposed method is validated on synthetic simulations, as well as on a real data experiment. Based on experiments, we show that by clustering profile data using mixtures of von Mises-Fisher distributions it is possible to estimate multiple fiber configurations in a more robust manner than currently used approaches, without recourse to regularization or sharpening procedures. The method holds promise to support robust tractographic methodologies and to build realistic models of white matter tracts in the human brain. |
| format | Article |
| id | doaj-art-8756b5434a774acba22529a0bbb30996 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-8756b5434a774acba22529a0bbb309962025-02-03T01:06:57ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962013-01-01201310.1155/2013/232143232143Computational Representation of White Matter Fiber OrientationsAdelino R. Ferreira da Silva0Departamento de Engenharia Electrotécnica, Faculdade de Ciências e Tecnologia (FCT), Universidade Nova de Lisboa, 2829-516 Caparica, PortugalWe present a new methodology based on directional data clustering to represent white matter fiber orientations in magnetic resonance analyses for high angular resolution diffusion imaging. A probabilistic methodology is proposed for estimating intravoxel principal fiber directions, based on clustering directional data arising from orientation distribution function (ODF) profiles. ODF reconstructions are used to estimate intravoxel fiber directions using mixtures of von Mises-Fisher distributions. The method focuses on clustering data on the unit sphere, where complexity arises from representing ODF profiles as directional data. The proposed method is validated on synthetic simulations, as well as on a real data experiment. Based on experiments, we show that by clustering profile data using mixtures of von Mises-Fisher distributions it is possible to estimate multiple fiber configurations in a more robust manner than currently used approaches, without recourse to regularization or sharpening procedures. The method holds promise to support robust tractographic methodologies and to build realistic models of white matter tracts in the human brain.http://dx.doi.org/10.1155/2013/232143 |
| spellingShingle | Adelino R. Ferreira da Silva Computational Representation of White Matter Fiber Orientations International Journal of Biomedical Imaging |
| title | Computational Representation of White Matter Fiber Orientations |
| title_full | Computational Representation of White Matter Fiber Orientations |
| title_fullStr | Computational Representation of White Matter Fiber Orientations |
| title_full_unstemmed | Computational Representation of White Matter Fiber Orientations |
| title_short | Computational Representation of White Matter Fiber Orientations |
| title_sort | computational representation of white matter fiber orientations |
| url | http://dx.doi.org/10.1155/2013/232143 |
| work_keys_str_mv | AT adelinorferreiradasilva computationalrepresentationofwhitematterfiberorientations |