Name
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%. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.jpdc.2008.05.013 | Journal of Parallel and Distributed Computing |
Keywords | DocType | Volume |
gpu computing,image quality,quadro fx,advanced reconstruction,reconstruction,cuda,mri,advanced image reconstruction algorithm,clinical setting,mr image,voxel data,gpgpu,computational acceleration,broad spectrum,true image,quad-core cpu,advanced reconstruction algorithm,conventional reconstruction technique,long data acquisition,advanced mri reconstruction,mri reconstruction,advanced magnetic resonance imaging,percent error | Journal | 68 |
Issue | ISSN | Citations |
10 | 0743-7315 | 66 |
PageRank | References | Authors |
6.29 | 15 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sam S. Stone | 1 | 855 | 73.24 |
| Justin P. Haldar | 2 | 350 | 35.40 |
| Stephanie C. Tsao | 3 | 93 | 9.64 |
| Wen-mei W. Hwu | 4 | 4322 | 511.62 |
| bradley p sutton | 5 | 66 | 6.29 |
| zhipei liang | 6 | 66 | 6.29 |