Application of Low-pass High-pass reconstruction for improving the performance of the POCS based algorithm

机译：低通和高通重建在提高POCS算法性能下的应用

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Projection-onto-convex sets (POCS) based methods are widely used to reconstruct the Magnetic resonance (MR) images due to its reconstruction accuracy and fast reconstruction time. In this paper, we propose a simple method to improve the reconstruction performance of the POCS based methods using low-pass filter and high-pass filter. We verify the reconstruction performance of the methods using simulation phantom and in vivo MR data both of the undersampled Cartesian and Nyquist sampled non-Cartesian cases.

机译：基于投影到凸套（POC）的方法广泛用于重建磁共振（MR）图像，由于其重建精度和快速重建时间。在本文中，我们提出了一种简单的方法，可以使用低通滤波器和高通滤波器提高基于POC的重建性能。我们验证了使用仿真幻像和体内先兆子数据的方法的重建性能，令人望而面的笛卡尔和奈奎斯特采样的非笛卡尔病例。

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《IEEE International Midwest Symposium on Circuits and Systems》|2011年||共3页
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Sung-Min Gho; Chunlei Liu; Dong-Hyun Kim;
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中图分类 TN7-53;
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4. Application of Low-pass High-pass reconstruction for improving the performance of the POCS based algorithm [C] . Gho Sung-Min, Liu Chunlei, Kim Dong-Hyun The 54th IEEE International Midwest Symposium on Circuits and Systems . 2011

机译：低通和高通重构在提高基于POCS的算法性能中的应用
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Application of Low-pass High-pass reconstruction for improving the performance of the POCS based algorithm

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