Wang Chao-Hsing, Chen Jyh-Cheng, Liu Ren-Shyan
Institute of Radiological Sciences, National Yang-Ming University, 155 Li-Nong Street, Sec 2., Taipei 112, Taiwan, ROC.
Comput Med Imaging Graph. 2004 Jun;28(4):177-84. doi: 10.1016/j.compmedimag.2003.11.005.
A maximum a posteriori algorithm, which incorporates correlated magnetic resonance images into the processing of positron emission tomography reconstruction with the aim of improving image quality was developed. The line site map from MRI a priori is made up of a modified Markov random field or Canny edge detector with Gaussian smoothing filter. It is used in the MAP algorithm by a weighted line site method. We evaluate and compare the performance of these reconstruction methods. The results show that the Bayesian methods produce reconstructed images with less noise and better spatial resolution than those produced by the maximum likelihood-expectation maximization method.
开发了一种最大后验算法，该算法将相关磁共振图像纳入正电子发射断层扫描重建过程中，旨在提高图像质量。来自MRI先验的线图由具有高斯平滑滤波器的改进马尔可夫随机场或Canny边缘检测器组成。它通过加权线图法用于MAP算法。我们评估并比较了这些重建方法的性能。结果表明，与最大似然期望最大化方法相比，贝叶斯方法产生的重建图像噪声更少，空间分辨率更高。
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