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Updated: May 30, 2026
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Accelerating Advanced MRI Reconstructions on GPUs
S S Stone1, J P Haldar, S C Tsao
1Center for Reliable and High-Performance Computing, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
None:
Computational acceleration on graphics processing units (GPUs) can make advanced magnetic resonance imaging (MRI) reconstruction algorithms attractive in clinical settings, thereby improving the quality of MR images across a broad spectrum of applications. This paper describes the acceleration of such an algorithm on NVIDIA's Quadro FX 5600. The reconstruction of a 3D image with 128(3) voxels achieves up to 180 GFLOPS and requires just over one minute on the Quadro, while reconstruction on a quad-core CPU is twenty-one times slower. Furthermore, relative to the true image, the error exhibited by the advanced reconstruction is only 12%, while conventional reconstruction techniques incur error of 42%.
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