Phase Retrieval for Hard X-Ray in-line Phase Contrast Imaging Based on a Parallel Hybrid Genetic Algorithm

摘要：

A novel phase retrieval method for hard X-ray inline phase contrast imaging is presented in this paper, which is based on a parallel hybrid genetic algorithm. Different from the tradition numerical algorithm, our approach is a parallel hybrid intelligent method. Some techniques, such as parallel computing, simulated annealing selection and elitist migration, are all combined together with the genetic algorithm to accelerate the convergence and improve the quality of the final output. The proposed method is validated by numerical simulations on MATLAB platform. Experimental results show that the parallel hybrid GA is a satisfying solution for phase retrieval because of its fast convergence and high speed-up.

关键词： phase retrieval hard X-ray phase contrast imaging parallel hybrid genetic algorithm

作者: Nan Li Pengdong Gao Yongquan Lu Wenhua Yu BinYu

作者单位: High Performance Computing Center, Information Engineering School, Communication University of China School of Optoelectronic Engineering Shenzhen University, Shenzhen, 518060, China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 66-70

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）