CUDA-accelerated geodesic ray-tracing for fiber-tracking

Evert van Aart, N. Sepasian, A.C. Jalba, A. Vilanova

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)
115 Downloads (Pure)


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 multi-threaded CPU implementation of the same algorithm, our GPU mapping achieves a speedup factor of up to 40 times.
Original languageEnglish
Article number698908
Pages (from-to)698908-1/12
Number of pages12
JournalInternational Journal of Biomedical Imaging
Publication statusPublished - 2011

Fingerprint Dive into the research topics of 'CUDA-accelerated geodesic ray-tracing for fiber-tracking'. Together they form a unique fingerprint.

Cite this