Abstract #2839
Parallel Global Tractography
Haiyong Wu 1 , Dinggang Shen 1 , and Pew-Thian Yap 1
1
Department of Radiology, University of North
Carolina, Chapel Hill, North Carolina, United States
Global tractography algorithms require long computation
times that are often prohibitive in the clinical
setting. We propose a parallel implementation of global
tractography that can take advantage of parallel
computing technologies. Our method breaks the posterior
density function of the configuration of fiber segments
into a number of independent subposterior density
functions, from which parallel sampling can be
performed. Our results indicate that tractography
results similar to the original global tractography
algorithm proposed by Reisert et al. can be achieved
using our method in a significantly reduced amount of
time.
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