Algorithms and Theory for Accurate Image Reconstruction in Multispectral CT

by Prof. 冲 陈 (中国科学院数学与系统科学研究院)

Thursday 7 Nov 2024, 10:00 → 11:30 Asia/Shanghai

402 (刘卿楼)

报告摘要：

Multispectral computed tomography (MSCT) has attracted increasing attention and research interest due to the development of hardware and requirement of applications, as well as its advantages in considering the X-ray energy-dependent information over the conventional CT such as artifact suppression, contrast improvement and object separation. However, accurate image reconstruction in MSCT remains a challenging task, largely because its data model is nonlinear. In this talk, we will discuss our recent advances on algorithms and theoretical analyses for accurate image reconstruction in MSCT.

 

报告人简介：

陈冲，中国科学院数学与系统科学研究院副研究员、博士生导师。2012年于中科院数学院获计算数学博士学位，2015-2017年在瑞典皇家理工学院数学系从事博士后研究。其研究领域包括医学成像反问题，图像处理，计算几何等，在稀疏图像重构的建模与计算、图像分割和配准的算法设计、几何模型的等几何分析方法等方面取得进展，发表学术论文二十多篇，研究成果主要发表在SIAM J. Imaging Sci.、Inverse Problems、J. Comput. Phys.、Comput. Methods Appl. Mech. Engrg.等期刊，在科学出版社合著《图像重构的数值方法》专著一部。现任《计算数学》杂志编委，研究工作获国家自然科学基金委优秀青年科学基金资助。