PET序列图像超分辨率优质重建算法

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (31): 71-73.

PET序列图像超分辨率优质重建算法

徐启飞,陈武凡,颜刚,马建华

南方医科大学生物医学工程学院,广州 510515

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-01 发布日期:2007-11-01
通讯作者: 徐启飞

Super-resolution high quality reconstruction algorithm for PET image sequence

XU Qi-fei,CHEN Wu-fan,YAN Gang,MA Jian-hua

School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-11-01 Published:2007-11-01
Contact: XU Qi-fei

摘要/Abstract

摘要： 为了从PET序列低分辨率图像中重建出优质高分辨率图像,提出了一种基于正则化参数的自适应线性斜率超分辨率算法。该算法通过对正则化线性斜率的自适应,更新动态优化代价函数,以降低对PET图像高频成分的抑制。为验证算法的有效性,采用模拟PET序列图像进行实验。实验结果表明,新算法在改善图像空间分辨率上取得良好的效果。

Abstract: In order to reconstruct a high resolution image from the low resolution Positron Emission Tomography（PET） image sequence,an adaptive linear slope algorithm based on the Regularization Parameter（RP） is proposed.This algorithm can adaptively optimize the cost function and reduce the suppression of high frequency component of PET image by adaptively updating linear slope of the RP.The proposed method is performed on simulated PET image sequence.The results of the experience indicate that the proposed algorithm outperforms conventional approaches in the spatial resolution.

徐启飞,陈武凡,颜刚,马建华. PET序列图像超分辨率优质重建算法[J]. 计算机工程与应用, 2007, 43(31): 71-73.

XU Qi-fei,CHEN Wu-fan,YAN Gang,MA Jian-hua. Super-resolution high quality reconstruction algorithm for PET image sequence[J]. Computer Engineering and Applications, 2007, 43(31): 71-73.