Under-sampling trajectory design for compressed sensing based DCE-MRI
Liu, Duan-Duan; Liang, Dong; Zhang, Na; Liu, Xin; Zhang, Yuan-Ting
2013
会议名称2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
会议地点Osaka, Japan
英文摘要Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) needs high temporal and spatial resolution to accurately estimate quantitative parameters and characterize tumor vasculature. Compressed Sensing (CS) has the potential to accomplish this mutual importance. However, the randomness in CS under-sampling trajectory designed using the traditional variable density (VD) scheme may translate to uncertainty in kinetic parameter estimation when high reduction factors are used. Therefore, accurate parameter estimation using VD scheme usually needs multiple adjustments on parameters of Probability Density Function (PDF), and multiple reconstructions even with fixed PDF, which is inapplicable for DCE-MRI. In this paper, an under-sampling trajectory design which is robust to the change on PDF parameters and randomness with fixed PDF is studied. The strategy is to adaptively segment k-space into low-and high frequency domain, and only apply VD scheme in high-frequency domain. Simulation results demonstrate high accuracy and robustness comparing to VD design.
收录类别EI
语种英语
内容类型会议论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/4927]  
专题深圳先进技术研究院_医工所
作者单位2013
推荐引用方式
GB/T 7714
Liu, Duan-Duan,Liang, Dong,Zhang, Na,et al. Under-sampling trajectory design for compressed sensing based DCE-MRI[C]. 见:2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. Osaka, Japan.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace