Open AccessCUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking
Author(s) -
Evert van Aart,
Neda Sepasian,
Andrei C. Jalba,
Anna Vilanova
Publication year - 2011
Publication title -
international journal of biomedical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.626
H-Index - 41
eISSN - 1687-4196
pISSN - 1687-4188
DOI - 10.1155/2011/698908
Subject(s) - cuda , computer science , speedup , geodesic , graphics processing unit , tracking (education) , fiber , tracing , parallel computing , ray tracing (physics) , computational science , diffusion mri , central processing unit , graphics , algorithm , computer graphics (images) , computer hardware , operating system , medicine , psychology , mathematical analysis , pedagogy , chemistry , physics , mathematics , organic chemistry , quantum mechanics , magnetic resonance imaging , radiology
Diffusion Tensor Imaging (DTI) allows to noninvasively measure the diffusion of water in fibrous tissue. By reconstructing the fibers from DTI data using a fiber-tracking algorithm, we can deduce the structure of the tissue. In this paper, we outline an approach to accelerating such a fiber-tracking algorithm using a Graphics Processing Unit (GPU). This algorithm, which is based on the calculation of geodesics, has shown promising results for both synthetic and real data, but is limited in its applicability by its high computational requirements. We present a solution which uses the parallelism offered by modern GPUs, in combination with the CUDA platform by NVIDIA, to significantly reduce the execution time of the fiber-tracking algorithm. Compared to a multithreaded CPU implementation of the same algorithm, our GPU mapping achieves a speedup factor of up to 40 times.
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