The Phase Study of PSF Model in MR
Partially separable functions (PSF) has been admitted highly sparse sampling in k-t space and proved an effective way to achieve high spatiotemporal resolution. However, it is still unsure whether the PSF reconstructed algorithm effects a change of the phase of magnetic resonance (MR) image. In view of this, we simulated a series of images in which the phases of designed area were exponential changed. After sparse data sampling and reconstruction by PSF, the phase variations of these images were compared before and after PSF processing. Simulation results showed that the phases of these images were preserved after the PSF reconstruction.
partially separable functions(PSF) magnetic resonance imaging(MRl) phase rapid imaging
Caiyun Shi Guoxi Xie Bensheng Qiu Xin Liu Xiang Feng
Paul C.Lauterber Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China
国际会议
上海
英文
526-529
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）