Literature DB >> 18602248

Diffusion tensor fiber tracking on graphics processing units.

Adiel Mittmann1, Eros Comunello, Aldo von Wangenheim.   

Abstract

Diffusion tensor magnetic resonance imaging has been successfully applied to the process of fiber tracking, which determines the location of fiber bundles within the human brain. This process, however, can be quite lengthy when run on a regular workstation. We present a means of executing this process by making use of the graphics processing units of computers' video cards, which provide a low-cost parallel execution environment that algorithms like fiber tracking can benefit from. With this method we have achieved performance gains varying from 14 to 40 times on common computers. Because of accuracy issues inherent to current graphics processing units, we define a variation index in order to assess how close the results obtained with our method are to those generated by programs running on the central processing units of computers. This index shows that results produced by our method are acceptable when compared to those of traditional programs.

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Year:  2008        PMID: 18602248     DOI: 10.1016/j.compmedimag.2008.05.006

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  Performing real-time interactive fiber tracking.

Authors:  Adiel Mittmann; Tiago H C Nobrega; Eros Comunello; Juliano P O Pinto; Paulo R Dellani; Peter Stoeter; Aldo von Wangenheim
Journal:  J Digit Imaging       Date:  2010-02-13       Impact factor: 4.056

2.  Cellular Automata Tractography: Fast Geodesic Diffusion MR Tractography and Connectivity Based Segmentation on the GPU.

Authors:  Andac Hamamci
Journal:  Neuroinformatics       Date:  2020-01

3.  CUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking.

Authors:  Evert van Aart; Neda Sepasian; Andrei Jalba; Anna Vilanova
Journal:  Int J Biomed Imaging       Date:  2011-09-20
  3 in total

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