Title :
Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm
Author :
Cai, Wei ; Zhou, Xiangrong ; Cui, Xuelin
Author_Institution :
Dept. of Electr. Eng., Univ. of Hawaii at Manoa, Honolulu, HI, USA
Abstract :
Modern graphics processing units work efficiently in the RF Pulse Design for MR image reconstruction, which could make the reconstruction of images quicker with higher signal to noise ratio (SNR) and higher resolution. This paper introduces using GPU techniques, such as multithreads, sharedMem, coalesce, and constMem to optimize the performance of the conjugate gradient least square algorithm for reconstructing MR images. Compared to a full CPU implementation, a version utilizing the conjugate gradient least square algorithm on the NVIDIA Tesla C 1060 is significantly faster. The total image reconstruction time, including all CPU to GPU setup and overhead, also improves dramatically.
Keywords :
computer graphic equipment; conjugate gradient methods; coprocessors; image reconstruction; image resolution; least squares approximations; magnetic resonance imaging; optimisation; CPU implementation; GPU implementaion; GPU technique; MR image reconstruction; NVIDIA Tesla C 1060; conjugate gradient least square algorithm; graphics processing units; image resolution; multidimensional RF pulse design algorithm; signal to noise ratio; Graphics processing unit; Image reconstruction; Magnetic resonance imaging; Radio frequency; Spirals; Trajectory;
Conference_Titel :
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5088-6
DOI :
10.1109/icbbe.2011.5780360
