【摘要】 提出一种基于智能单粒子(intelligent particle optimizer,IPO)的改进型联合代数重建算法(simultaneous algebraic reconstruction technique,SART).为提高重建图像质量,引入松弛矩阵概念,利用智能单粒子算法搜索每一像素特有的最优松弛因子,增强重建算法对图像局部特性的针对性.仿真结果表明,采用IPO-SART算法获得的重建图像质量较传统SART算法更佳.更多还原

【Abstract】 An improved simultaneous algebraic reconstruction technique(SART) based on intelligent particle optimizer(IPO) was presented.Relaxation factor matrix(RFM),i.e.a group of unique relaxation factors for each pixel in the reconstructed image,was introduced to improve the quality of the reconstructed image.The newly proposed IPO-SART searched the optimal RFM by IPO to enhance the pertinence of the arithmetic to local areas of reconstructed images.Compared with the traditional SART,the simulation results demonstrate the effectiveness of the proposed algorithm in improving the quality of reconstructed images.更多还原