Under-sampling Trajectory Design for Compressed Sensing Based DCE-MRI
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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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.
著者Liu DD, Liang D, Zhang N, Liu X, Zhang YT
會議名稱35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
會議開始日03.07.2013
會議完結日07.07.2013
會議地點Osaka
會議國家/地區日本
期刊名稱Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
詳細描述organized by IEEE-EMBS,
出版年份2013
月份1
日期1
出版社IEEE
頁次2624 - 2627
電子國際標準書號978-1-4577-0216-7
國際標準期刊號1557-170X
語言英式英語
Web of Science 學科類別Engineering; Engineering, Biomedical; Engineering, Electrical & Electronic

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