QUANTITATIVE-EVALUATION OF SEVERAL PARTIAL FOURIER RECONSTRUCTION ALGORITHMS USED IN MRI
QUANTITATIVE-EVALUATION OF SEVERAL PARTIAL FOURIER RECONSTRUCTION ALGORITHMS USED IN MRI
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DOI：
10.1002/mrm.1910300109
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发表时间：
1993-07-01
影响因子：
3.3
通讯作者：
CRAWLEY, A
中科院分区：
文献类型：
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作者：
MCGIBNEY, G;SMITH, MR;CRAWLEY, A
部分傅立叶重建算法利用磁共振数据集中的冗余，使得一半的数据是在图像重建期间计算而不是采集。使用空间频域分析评估共轭合成、Margosian、零差检测、Cuppen 和 POCS 算法，以显示它们的特性以及可能出现限制的地方。部分傅立叶重建中使用的相位校正相当于频域中的卷积，并且证明了准确实现该卷积的重要性。建议采用基于将部分数据通过相位校正、有限脉冲响应 (FIR) 和数字滤波器的新重建方法。这些FIR和MoFIR算法的速度接近Margosian和零差检测重建，但误差较低；接近 Cuppen/POCS 迭代方法。通过比较使用完整和部分傅里叶技术重建的人工数据和临床数据，提供了用三相估计技术测试的部分傅里叶算法的定量分析。
Partial Fourier reconstruction algorithms exploit the redundancy in magnetic resonance data sets so that half of the data is calculated during image reconstruction rather than acquired. The conjugate synthesis, Margosian, homodyne detection, Cuppen and POCS algorithms are evaluated using spatial frequency domain analysis to show their characteristics and where limitations may occur. The phase correction used in partial Fourier reconstruction is equivalent to a convolution in the frequency domain and the importance of accurately implementing this convolution is demonstrated. New reconstruction approaches, based on passing the partial data through a phase correcting, finite impulse response (FIR), digital filter are suggested. These FIR and MoFIR algorithms have a speed near that of the Margosian and homodyne detection reconstructions, but with a lower error; close to that of the Cuppen/POCS iterative approaches. Quantitative analysis of the partial Fourier algorithms, tested with three phase estimation techniques, are provided by comparing artificial and clinical data reconstructed using full and partial Fourier techniques.