MRI Reconstruction Based on Inverse Scale Space and Contourlet Thresholding

Wenshu Li, Jianhua Luo, Qiegen Liu, S. Hu
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Abstract

in clinical Magnetic Resonance Imaging (MRI), any reduction in scan time offers a number of potential benefits ranging from high-temporal-rate observation of physiological processes to improvements in patient comfort. In this paper we proposed a reconstruction algorithm by applying contourlet thresholding in inverse scale space flows. We improved the inverse scale space with the noise item in which there is some meaning information and take full advantage of coutourlet transform's characters: perfect reconstruction, noise restraint and good directional selectivity. Several example MRI reconstructions from highly undersampled K-space data are presented for recovery of detailed features from incomplete and inaccurate measurements. Keywords-MRI; Inverse Scale Space; reconstruction;contourlet
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基于逆尺度空间和Contourlet阈值的MRI重构
在临床磁共振成像(MRI)中,任何扫描时间的减少都提供了许多潜在的好处,从对生理过程的高时间率观察到患者舒适度的改善。本文提出了一种基于contourlet阈值的反尺度空间流重构算法。我们利用含有意义信息的噪声项对逆尺度空间进行了改进,充分利用了库图let变换重构完善、噪声抑制和方向选择性好的特点。从高度欠采样k空间数据的几个例子MRI重建提出了详细的特征从不完整和不准确的测量恢复。Keywords-MRI;逆尺度空间;重建;contourlet
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