Stone S S, Haldar J P, Tsao S C, Hwu W-M W, Sutton B P, Liang Z-P
Center for Reliable and High-Performance Computing, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
J Parallel Distrib Comput. 2008 Oct;68(10):1307-1318. doi: 10.1016/j.jpdc.2008.05.013.
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%.
图形处理单元（GPU）上的计算加速可使先进的磁共振成像（MRI）重建算法在临床环境中具有吸引力，从而在广泛的应用中提高MR图像的质量。本文描述了在NVIDIA的Quadro FX 5600上对这种算法的加速。使用128(3)体素重建一幅3D图像，在Quadro上可实现高达180 GFLOPS的运算速度，且仅需一分多钟，而在四核CPU上进行重建则要慢21倍。此外，相对于真实图像，先进重建方法所呈现的误差仅为12%，而传统重建技术的误差为42%。
