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CT Image Reconstruction Based on the RBF Network Image Representation
Author(s): GUO Ping, HU Ming
Pages: 1183-
1186
Year: 2007
Issue:
6
Journal: ACTA ELECTRONICA SINICA
Keyword: 计算机断层成像; 投影数据; RBF神经网络; 图像表示; 重建算法;
Abstract: 本文提出一种基于径向基函数(Radial Basis Function-RBF)神经网络图像表示实现对计算机断层成像装置不完备投影数据的重建方法,并分析了方法的计算效率、重建质量和适用范围.该方法采用RBF神经网络表示断层图像,降低了问题的计算规模,并通过ART(Algebraic Reconstruction Technique)迭代算法重建出断层图像.在模拟实验中,我们将本方法与FBP、ART的重建图像算法进行了比较.实验结果表明所提出的方法其重建质量和计算效率都有明显地改进.
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