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用于压缩感知磁共振成像的伪二维随机采样

Pseudo 2D random sampling for compressed sensing MRI.

作者信息

Wang Haifeng, Liang Dong, Ying Leslie

机构信息

Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, WI 53201, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2672-5. doi: 10.1109/IEMBS.2009.5334086.

Abstract

The paper presents a novel approach of pseudo 2D random sampling scheme for application of compressed sensing in Cartesian magnetic resonance imaging (MRI). The proposed scheme is realized by a pulse sequence program which switches the directions of phase encoding and frequency encoding during data acquisition such that both k(x) and k(y) directions can be undersampled randomly. The resulting random sampling pattern approximates the ideal but impractical 2D patterns. Both the simulation and experiment results show the proposed method is superior to the existing 1D random sampling and similar to the ideal 2D random sampling in terms of the reconstruction quality. This method can potentially improve the MR imaging speed through the application of compressed sensing in conventional MRI.

摘要

本文提出了一种用于笛卡尔磁共振成像(MRI)中压缩感知应用的新型伪二维随机采样方案。该方案通过一个脉冲序列程序实现,该程序在数据采集期间切换相位编码和频率编码的方向,以便k(x)和k(y)方向都可以随机欠采样。由此产生的随机采样模式近似于理想但不切实际的二维模式。仿真和实验结果均表明,该方法在重建质量方面优于现有的一维随机采样,且与理想二维随机采样相似。通过在传统MRI中应用压缩感知,该方法有望提高MR成像速度。

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