Title :
The phase study of PSF model in MR
Author :
Shi, Caiyun ; Xie, Guoxi ; Qiu, Bensheng ; Liu, Xin ; Feng, Xiang
Author_Institution :
Paul C. Lauterber Res. Center for Biomed. Imaging, Shenzhen Inst. of Adv. Technol., Shenzhen, China
Abstract :
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.
Keywords :
biomedical MRI; image reconstruction; medical image processing; spatiotemporal phenomena; PSF model; PSF reconstructed algorithm; k-t space; magnetic resonance image; partially separable function; phase study; sparse data sampling; sparse sampling; spatiotemporal resolution; Biomedical imaging; Image reconstruction; Image resolution; Magnetic resonance imaging; Spatiotemporal phenomena; Temperature measurement; magnetic resonance imaging(MRI); partially separable functions(PSF); phase; rapid imaging;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
DOI :
10.1109/BMEI.2011.6098341
