An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging

赵晓东; 唐果; 汪元美

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An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging

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- An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging
- Acta Electronica Sinica Issue 5, Pages: 72-74(1998)
- 作者机构：
  
  1. 浙江大学CAD＆G国家重点实验室!杭州
  2. 310027
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：1998
- 稿件说明：
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[1]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(05):72-74+88.

赵晓东, 唐果, 汪元美. An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging[J]. Acta Electronica Sinica, 1998, (5): 72-74.
[1]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(05):72-74+88. DOI：

赵晓东, 唐果, 汪元美. An AR Model-Based Maximum Entropy Reconstruction Algorithm for Phase-and Frequency-Encoded Magnetic Resonance Imaging[J]. Acta Electronica Sinica, 1998, (5): 72-74. DOI：

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．

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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