Accelerating PS model-based dynamic cardiac MRI using compressed sensing

	Accelerating PS model-based dynamic cardiac MRI using compressed sensing
	Zhang, Xiaoyong; Xie, Guoxi; Shi, Caiyun; Su, Shi; Zhang, Yongqin; Liu, Xin; Qiu, Bensheng
刊名	MAGNETIC RESONANCE IMAGING
	2016
英文摘要	High spatiotemporal resolution MRI is a challenging topic in dynamic MRI field. Partial separability (PS) model has been successfully applied to dynamiccardiac MRI by exploiting data redundancy. However, the model requires substantial preprocessing data to accurately estimate the model parameters before image reconstruction. Since compressed sensing (CS) is a potential technique to accelerate MRI by reducing the number of acquired data, the combination of PS and CS, named as Stepped-SparsePS, was introduced to accelerate the preprocessing data acquisition of PS in this work. The proposed Stepped-SparsePS method sequentially reconstructs a set of aliased dynamic images in each channel based on PS model and then the finaldynamic images from the aliased images using CS. The results from numerical simulations and in vivo experiments demonstrate that Stepped-SparsePS could significantly reduce data acquisition time while preserving high spatiotemporal resolution.
收录类别	SCI
原文出处	http://www.sciencedirect.com/science/article/pii/S0730725X1500274X
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10447]
专题	深圳先进技术研究院_医工所
作者单位	MAGNETIC RESONANCE IMAGING
推荐引用方式 GB/T 7714	Zhang, Xiaoyong,Xie, Guoxi,Shi, Caiyun,et al. Accelerating PS model-based dynamic cardiac MRI using compressed sensing[J]. MAGNETIC RESONANCE IMAGING,2016.
APA	Zhang, Xiaoyong.,Xie, Guoxi.,Shi, Caiyun.,Su, Shi.,Zhang, Yongqin.,...&Qiu, Bensheng.(2016).Accelerating PS model-based dynamic cardiac MRI using compressed sensing.MAGNETIC RESONANCE IMAGING.
MLA	Zhang, Xiaoyong,et al."Accelerating PS model-based dynamic cardiac MRI using compressed sensing".MAGNETIC RESONANCE IMAGING (2016).