报告摘要

While medical imaging has afforded a vast and quickly growing amount of spatial data, there is still a significant gap between "image'' and "knowledge''. In my work I explored the use of geometric tools and algorithms to help doctors and medical researchers make better sense of their images. In this talk, I will present two such examples. I will show how geometric skeletons are used to understand 3D biological shapes, from proteins to aneurysms, and how deformable atlases allow comparative analysis of 2D and 3D anatomic images.

报告人简况

Tao Ju is an Associate Professor in the Department of Computer Science and Engineering at the Washington University in St. Louis. He is the Ambassador for MISA to Tsinghua University. He graduated from Tsinghua in 2000 with a Bachelor Degree majoring in English and minoring in Computer Science, and he obtained his M.S. and PhD degrees in Computer Science from Rice University in 2005. He conducts research in computer graphics and bio-medical applications. He has served on the program committees of top-tier conferences including ACM Siggraph and Eurographics, and is currently an associate editor of journals IEEE Transactions on Visualization and Computer Graphics, Computer-Aided Design and Graphical Models. He has received a number of grant awards from NSF and NIH, including an NSF CAREER award in 2009.