Simulations of synthetic diffusion MRI data based on Brownian motion
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Date
2015
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This study deals with the problem of bending and kissing fibers of axonal bundles in brain white matter. It describes new simulator of diffusion-weighted MRI (dMRI) data which is able to generate it based on random walk algorithm with geometrical constraints not only for crossing fiber geometry, but also as o novelty for bending and kissing fiber geometries. It means the simulator becomes a useful and essential tool for understanding and detection of differences between dMRI data coming from crossing, bending and kissing fibers.
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Citation
Proceedings of the 21st Conference STUDENT EEICT 2015. s. 255-257. ISBN 978-80-214-5148-3
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií