PSF model simulation study using a cardiac phantom
Partially separable functions (PSF) model has been proposed for cardiac MRI due to its ability to get high spatial-temporal resolution dynamic images without the need of breath holding and triggering. During the PSF reconstruction, the choice of model order (L) is very important. It directly affects image quality and the models ability to capture the motion. However, how to choose the value of L accurately has never been investigated. In this work, we use a numerical cardiac phantom to study the effect of the model order, L, in image reconstruction, and try to find out the optimal model order by different approaches. Simulation result shows that the model order is determined by the number of object motional states and it can be directly calculated by using the ratios of the differences of singular values from the navigator dataset. This simulation results may give a guidance of PSF research in the future.
cardiac phantom simulation PSF model
Xiang Feng Guoxi Xie Shan He Yiu-Cho Chung Dong Liang Xin Liu Bensheng Qiu
Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Enginee Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Enginee Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Enginee
国际会议
上海
英文
452-455
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）