一种多目标优化重建方法在气体浓度层析成像中的应用

1.华中科技大学电子信息与工程系信号处理与智能技术中心,湖北,武汉,430074

2.华中科技大学电子信息与工程系信号处理与智能技术中心,湖北,武汉,430074

3.华中科技大学电子信息与工程系信号处理与智能技术中心,湖北,武汉,430074

基金项目: 国家自然科学基金(60472015)

A multi-object optimization reconstruction technique for gas density computer tomography

为了克服传统的少射线图像重建方法-ART对噪声敏感而导致的重建图像质量差的问题,在考虑气体扩散时其浓度二维分布特点的基础上,提出了一种利用多目标优化的方法来重建气体二维浓度分布图的方法.实验表明,该算法对改善气体浓度层析成像中的噪声对重建结果的影响具有较好的效果.

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