title: Accelerating Advanced MRI Reconstructions on GPUs.
abstract: 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%.
authors.affiliation: Center for Reliable and High-Performance Computing, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
authors.forename: S S
authors.initials: SS
authors.lastname: Stone
authors.forename: J P
authors.initials: JP
authors.lastname: Haldar
authors.forename: S C
authors.initials: SC
authors.lastname: Tsao
authors.forename: W-M W
authors.initials: WM
authors.lastname: Hwu
authors.forename: B P
authors.initials: BP
authors.lastname: Sutton
authors.forename: Z-P
authors.initials: ZP
authors.lastname: Liang