| 最大熵磁共振成象理论 |
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| 引用本文： | 汪元美.最大熵磁共振成象理论[J].南昌航空工业学院学报,2000,14(2):1-6. |
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| 作者姓名： | 汪元美 |
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| 作者单位： | 浙江大学生物医学工程及仪器科学学院,浙江杭州 |
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| 摘 要： | 由于在实际磁共振成象系统中，只能得到有限的频谱数据，利用传统的ＦＦＴ方法重建磁共振图象，将导致截断的伪影和低的分辨率。本文提出了一种基于ＡＲ模型的最大熵磁共振成象算法，利用ＡＲ模型外推未知频谱数据，替代了ＦＦＴ方法的填零法重建，并利用了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、提高了分辨率，而且使重建时间与ＦＦＴ方法相当，完全适用于临床应用。
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| 关 键 词： | 磁共振成象 傅里叶变换 自回归模型 填零法重建 |
| 修稿时间： | 2000-03-08 |
Maximum Entropy Magnetic Resonance Imaging Theory |
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| Wang Yuanmei.Maximum Entropy Magnetic Resonance Imaging Theory[J].Journal of Nanchang Institute of Aeronautical Technology(Natural Science Edition),2000,14(2):1-6. |
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| Authors: | Wang Yuanmei |
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| Abstract: | This paper presents an AR model based maximum entropy method for magnetic resonance imaging.Since it has computedly effecient and better quality of reconstructed image,it will be an alternative method to conventional use of the fast Fourier Transform algorithm in the reconstruction of magnetic resonance images.It is acquired by computing the respective AR coefficients and linerar prediction error sequence.In practical uses,the application FFT leads to artifacts and lower resolution in the image due to the truncated spectral data sets,but our reconstruction algorithm is superior both in enhancing resolution and in removing truncation artifacts. |
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| Keywords: | Magnetic Resonance Imanging Fast Fourier Transform(FFT) Autogressive Model Linear Prdiction Error |
| 本文献已被 CNKI 维普 等数据库收录！ |
