| 基于AR模型的最大熵磁共振成像重建算法 |
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| 引用本文： | 赵晓东,唐果,汪元美.基于AR模型的最大熵磁共振成像重建算法[J].电子学报,1998,26(5):72-74,88. |
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| 作者姓名： | 赵晓东 唐果 汪元美 |
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| 作者单位： | 浙江大学CAD & G国家重点实验室,杭州,310027 |
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| 摘 要： | 本文提出了一种基于ＡＲ模型的磁共振成像算法，通过所获得的自回归系数及线性预测误差，替代了传统的快速傅里叶（ＦＦＴ）重建方法，获得了满意的重建图像，由于在实际系统中，只能得到有限的频谱数据，利用传统的ＦＦＴ方法重建磁共振图像，将导致截断伪影和低的分辨率。本算法利用ＡＲ模型外推未知频谱数据，替代ＦＦＴ方法的填零法重建，并利用ＢＵＲＧ算法中的ＡＲ模型参数计算的有效性，不仅消除了截断伪影，抑制噪声提高了分
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| 关 键 词： | 磁共振成像 快速傅里叶变换 自回归模型 线性预测误差 |
An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging |
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| Zhao Xiaodong, Tang Guo, Wang Yuanmei.An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging[J].Acta Electronica Sinica,1998,26(5):72-74,88. |
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| Authors: | Zhao Xiaodong Tang Guo Wang Yuanmei |
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| Abstract: | This paper presents a novel AR model-based maximum entropy method for magnetic resonance imaging. Since it is computationally effecient and we have obtained better quality of reconstructed images, it will be an alternative method to conventional fast Fourier Transform algorithm in the reconstruction of magnetic resonance images. In practical cases, the FFT algorithm leads to artifacts and lower resolution in the image due to the truncated spectral data sets, but our imaging algorithm is superior both in enhancing resolution and in suppressing truncation artifacts. |
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| Keywords: | Magnetic resonance imaging Fast fourier transform (FFT) Autoregressive model Linear prediction error |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
