中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): High temporal resolution of dynamic MRI using the PSF model with robust reconstruction
SIAT OpenIR  > 医工所
High temporal resolution of dynamic MRI using the PSF model with robust reconstruction
Xiang Feng; Guoxi Xie; Chao Zou; Bo Kou; Zhuo Weng; Shan He; Xin Liu
2011
Conference Name2011 7th International Conference on Natural Computation, ICNC 2011
Conference PlaceShanghai, China
AbstractA recently developed method known as partially separable functions (PSF) can be used to generate high temporal resolution images for dynamic imaging. And the accurate estimation of parameters is critical for the result in the PSF model. However, the parameters estimation is often interfered by noises during sampling. So the image reconstruction is fragile sometimes. To improve the robustness of reconstruction, this article proposes a new method jointly using robust Principal Component Analysis (RPCA) and modified truncated Singular Value Decomposition (MTSVD) regularization. The preliminary results of in-vivo Cardiac MR (CMR) experiment have shown that the proposed method can improve the robustness to noises when reconstructing dynamic images with high temporal resolution
Department保罗·C·劳特伯生物医学成像研究中心
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.siat.ac.cn/handle/172644/3506
Collection医工所
Affiliation2011
Recommended Citation
GB/T 7714
Xiang Feng,Guoxi Xie,Chao Zou,et al. High temporal resolution of dynamic MRI using the PSF model with robust reconstruction[C],2011.
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