报告题目：Edge-Preserving Regularizations for tomography reconstruction in Mesh Domain

报告人：陆遥  教授，中山大学

时  间：2015年6月12日    上午10:00―11:00

地  点：东区管理科研楼  365英国上市官网1218室

内容提要：
The purpose of this study was to implement the continuous edge-preserving regularization rooted from traditional discrete Total Variation (TV) regularization for iterative tomography reconstruction in mesh domain to suppress image noise accumulation with increasing iteration number and thus to stabilize the reconstruction while preserving edges in the reconstructed images. In order to accomplish these aims we used reconstruction algorithms in mesh domains that employed TV priors applied in a continuous form. We established a continuous-to-discrete integral equation model for tomography projections and used it to derive edge-preserving regularization algorithm in mesh domain. A computationally efficient approach for the proposed continuous regularizations was derived for piecewise linear basis functions.

报告人简介：
陆遥，中山大学数学与计算科学学院教授，博导。从事医学影像重建、图像分析与反问题领域的研究。主持过Susan Komen基金会研究基金、国家自然科学基金项目各一项。在研究领域国际一流期刊发表论文15篇，国际权威学术会议论文16篇。主办过两次计算科学与图像分析领域国际会议，为16个国际学术期刊审稿人。现为广东联通“智慧城市”专家组成员和广东省高性能计算学会理事。

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