Statistical DSI brain tractography: a way to handle the kiss-cross uncertainty

Despite the advent of diffusion magnetic resonance imaging and tractography algorithms, the accurate mapping of complex fiber kiss-crossings areas of the brain remains out of reach. In this study, we present a statistical DSI-based tractography algorithm which explores all possible paths in the brain white matter. We also introduce a cortex connectivity graph whose weighted edges correspond to the connection likelihood. The tests performed on the centrum semi-ovale have shown that a simple thresholding applied to the edges of this graph allows us to image the connectivity of any part of the brain to the desired level of complexity.


Published in:
ISMRM 14th SCIENTIFIC MEETING, Seattle, Washington, USA, 6-12 May 2006, 14, 3167
Year:
2006
Publisher:
IEEE
Keywords:
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 Record created 2006-10-27, last modified 2018-03-17

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