Computational acceleration on graphics processing units (CPUs) 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, for the data set studied in this article, the percent error exhibited by the advanced reconstruction is roughly three times lower than the percent error incurred by conventional reconstruction techniques.
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机译：图形处理单元（CPU）上的计算加速可以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，从而在广泛的应用领域中提高MR图像的质量。本文介绍了这种算法在NVIDIA's Quadro FX 5600上的加速。使用128〜3个体素重建3D图像可实现多达180 GFLOPS，并且在Quadro上仅需要一分钟以上的时间。而在四核CPU上的重建速度要慢21倍。此外，对于本文研究的数据集，高级重构所显示的百分比误差大约比传统重构技术所产生的百分比误差低三倍。
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