Modified Fast Marching Tractography Algorithm and Its Ability to Detect Fibre Crossing
White matter fibre tractography is a non-invasive method for reconstructing three dimensional trajectories of fibre pathways. Fast Marching is one of fibre tracking methods in which co-linearity of principal eigenvectors determines the speed of front's evolution. In this algorithm effect of ten...
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| creator | Dargi, F. Oghabian, M.A. Ahmadian, A. Zadeh, H.S. Zarei, M. Boroomand, A. |
| description | White matter fibre tractography is a non-invasive method for reconstructing three dimensional trajectories of fibre pathways. Fast Marching is one of fibre tracking methods in which co-linearity of principal eigenvectors determines the speed of front's evolution. In this algorithm effect of tensor's eigenvalues are not considered. In the current work, the speed function of standard fast marching was modified by considering the strength of tensor's eigenvectors. The proposed speed function has an adaptive Fractional Anisotropy (FA) weighted factor which can be set by type of brain's environments (i.e. isotropic and anisotropic regions). This modification was found to have high accuracy for detecting fibres by reducing false pathways. The proposed method has performed high accuracy in detection of fibre crossing. |
| doi_str_mv | 10.1109/IEMBS.2007.4352288 |
| format | Conference Proceeding |
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Fast Marching is one of fibre tracking methods in which co-linearity of principal eigenvectors determines the speed of front's evolution. In this algorithm effect of tensor's eigenvalues are not considered. In the current work, the speed function of standard fast marching was modified by considering the strength of tensor's eigenvectors. The proposed speed function has an adaptive Fractional Anisotropy (FA) weighted factor which can be set by type of brain's environments (i.e. isotropic and anisotropic regions). This modification was found to have high accuracy for detecting fibres by reducing false pathways. The proposed method has performed high accuracy in detection of fibre crossing.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>18001954</pmid><doi>10.1109/IEMBS.2007.4352288</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 1094-687X |
| ispartof | 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, Vol.2007, p.319-322 |
| issn | 1094-687X 1557-170X 1558-4615 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | adaptive weighted factor Algorithms Anisotropic magnetoresistance Anisotropy Biomedical engineering Biomedical imaging Brain - anatomy & histology Computer Simulation Differential equations Diffusion Magnetic Resonance Imaging - methods Diffusion tensor imaging Diffusion Tensor Imaging (DTI) Echo-Planar Imaging - methods FA Weighted Fast Marching (FAW-FM) Fast Marching (FM) Fibre crossing fibre tractography Humans Image reconstruction Minimization methods Nerve Fibers Neural pathways Physics Tensile stress |
| title | Modified Fast Marching Tractography Algorithm and Its Ability to Detect Fibre Crossing |
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