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Published in:
2015 | OriginalPaper | Chapter
Data-Parallel MRI Brain Segmentation in Clinical Use
Porting FSL-FASTv4 to GPGPUs
Authors : Joachim Weber, Christian Doenitz, Alexander Brawanski, Christoph Palm
Published in: Bildverarbeitung für die Medizin 2015
Publisher: Springer Berlin Heidelberg
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Structural MRI brain analysis and segmentation is a crucial part in the daily routine in neurosurgery for intervention planning. Exemplarily, the free software FSL-FAST (FMRIB’s Segmentation Library – FMRIB’s Automated Segmentation Tool) in version 4 is used for segmentation of brain tissue types. To speed up the segmentation procedure by parallel execution, we transferred FSL-FAST to a General Purpose Graphics Processing Unit (GPGPU) using Open Computing Language (OpenCL) [1]. The necessary steps for parallelization resulted in substantially different and less useful results. Therefore, the underlying methods were revised and adapted yielding computational overhead. Nevertheless, we achieved a speed-up factor of 3.59 from CPU to GPGPU execution, as well providing similar useful or even better results.