Recent Advances on Spatiotemporal Imaging
报告题目(Title)：Recent Advances on Spatiotemporal Imaging
报告人(Speaker)：陈 冲 （中国科学院数学与系统科学研究院，副研究员）
地点(Place)：后主楼 1328
时间(Time)：11月13日(周五)，16:00-17:00
邀请人(Inviter)：刘 君
报告摘要
Spatiotemporal imaging is critical in clinical applications, such as tomographic imaging of the heart or lung. As an example in PET/CT cardiac imaging, when data is acquired over a relatively long period of time (often in the range of minutes), the unknown motion of the organs leads to severe degradation in image quality. Furthermore, to reduce the radiation or conduct fast scanning, the low-dose or sparse sampling is often required. Hence, the image reconstruction with high spatiotemporal resolution becomes particularly important and very challenging. We will talk about our recent advances on spatiotemporal imaging, including joint image reconstruction and motion estimation, LDDMM consistent growth model, indirect image registration, sequentially indirect image registration. If time permits, we will further review the optimal transportation briefly, and introduce the spatiotemporal imaging using Wasserstein distance.
主讲人简介
陈冲，中科院数学与系统科学研究院科学与工程计算国家重点实验室副研究员、博士生导师，2012年博士毕业于中科院数学与系统科学研究院，2015–2017年在瑞典皇家理工学院数学系从事博士后研究，其主要研究领域为生物医学成像反问题，图像处理以及计算几何。
