主讲人：王成祥

主办单位：数学与人工智能学院

讲座时间：2024.7.2 上午 10:30-11:30

讲座地址：9455澳门新葡萄娱乐场大厅科技创新中心2001会议室

内容简介：

Limited-angle x-ray computed tomography (CT)is a typical ill-posed inverse problem,leading to artifacts in the reconstructed image due to the incomplete projection data. Most iteration CT reconstruction methods involve optimization for a single object. This paper explores a multi objective optimization model and an interactive method based on multi-objective optimization to suppress the artifacts of limited-angle CT. Approach. The model includes two objective functions on the dual domain within the data consistency constraint. In the interactive method, the structural similarity index measure (SSIM)is regarded as the value function of the decision maker(DM) firstly. Secondly, the DM arranges the objective functions of the multi-objective optimization model to be optimized according to their absolute importance. Finally, the SSIM and the simulated annealing (SA) method help the DM choose the desirable reconstruction image by improving the SSIM value during the iteration process. Main results. Simulation and real data experiments demonstrate that the artifacts can be suppressed by the proposed method, and the results were superior to those reconstructed by the other three reconstruction methods in preserving the edge structure of the image. Significance. The proposed interactive method based on multi-objective optimization shows some potential advantages over classical single object optimization methods.

主讲人简介：

王成祥，博士，重庆师范大学博望学者青年拔尖人才、电子科技大学优秀博士后，重庆师范大学副教授，硕士生导师。师从重庆大学曾理教授。长期从事X射线CT成像重建，图像处理，最优化算法等方面的研究工作。主持国家自然科学基金青年1项，中国博士后自然科学基金1项，重庆市自然科学基金面上2项，重庆市教委一般项目2项。在《Physics in Medicine and Biology》、《Inverse Problems and Imaging》、《Applied Mathematical Modelling》与《Signal Processing》等著名期刊杂志发表论文20余篇。