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Cellular Automata Tractography: Fast Geodesic Diffusion MR Tractography and Connectivity Based Segmentation on the

Andac Hamamci¹

¹Faculty of Engineering, Department of Biomedical Engineering, Yeditepe University, Istanbul, Turkey. andac.hamamci@yeditepe.edu.tr.

Neuroinformatics

|April 19, 2019

Abstract:

Geodesic based tractography on diffusion magnetic resonance data is a method to devise long distance connectivities among the brain regions. In this study, cellular automata technique is applied to the geodesic tractography problem and the algorithm is implemented on a graphics processing unit. Cellular automaton based method is preferable to current techniques due to its parallel nature and ability to solve the connectivity based segmentation problem with the same computational complexity, which has important applications in neuroimaging. An application to prior-less tracking and connectivity based segmentation of corpus callosum fibers is presented as an example. A geodesic tractography based corpus callosum atlas is provided, which reveals high projections to the cortical language areas. The developed method not only allows fast computation especially for segmentation but also provides a powerful and intuitive framework, suitable to derive new algorithms to perform connectivity calculations and allowing novel applications.

Keywords:

Cellular automata Connectivity Connectivity based segmentation Corpus callosum parcellation Diffusion MRI Geodesic tractography Graphics processing unit Shortest-paths

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