中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging

文献类型:期刊论文

作者Liu DuanDuan; Liang Dong; Zhang Na; Liu Xin; Zhang YuanTing
刊名JOURNAL OF ELECTRONIC IMAGING
出版日期2015
英文摘要Compressed sensing has the potential to address the challenge of simultaneously requiring high temporal and spatial resolution in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), by randomly undersampling the k-space with a predesigned trajectory. However, the traditional variable density (VD) design scheme includes inherent randomness since many probability density functions (PDFs) correspond to a given acceleration factor and one fixed PDF can generate different trajectories. This randomness may translate to an uncertainty in kinetic parameter estimation. We first evaluate how the one-to-many mapping in trajectory design influences DCE parameter estimation when high reduction factors are used. Then we propose a robust design scheme by adaptively segmenting k-space into low-and high-frequency domains considering the specific characteristics for different subjects and only applying the VD scheme in the high-frequency domain. Simulation results demonstrate high accuracy and robustness compared to the VD design. (C) 2015 SPIE and IS&T
收录类别SCI
原文出处http://spie.org/Publications/Journal/10.1117/1.JEI.24.1.013017
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/7155]  
专题深圳先进技术研究院_医工所
作者单位JOURNAL OF ELECTRONIC IMAGING
推荐引用方式
GB/T 7714
Liu DuanDuan,Liang Dong,Zhang Na,et al. Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging[J]. JOURNAL OF ELECTRONIC IMAGING,2015.
APA Liu DuanDuan,Liang Dong,Zhang Na,Liu Xin,&Zhang YuanTing.(2015).Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging.JOURNAL OF ELECTRONIC IMAGING.
MLA Liu DuanDuan,et al."Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging".JOURNAL OF ELECTRONIC IMAGING (2015).

入库方式: OAI收割

来源:深圳先进技术研究院

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