主 题: Some Mathematical Models in Medical Imaging, Shape Processing and Analysis
报告人: Dr. Bin DONG (Dept. of Math., UCSD)
时 间: 2010-09-13 14:00-15:00
地 点: 理科一号楼1560
Medical imaging, image/shape processing and analysis has been a rather
popular research area in the past decade, not only because of the
great importance of the problems, but also their difficulties.
Numerous researchers with expertise ranging from radiology and
neurology to computer science, engineering and mathematics are working
extensively in this area. In my talk, I will first discuss a tight
wavelet frame based cone beam CT reconstruction model, which falls
into the category of tomographic imaging. The model is motivated by
the recent bloom of research on frame based image. Then I will
introduce a frame based segmentation model for general medical image
segmentation problems. This model is motivated by the ideas of the
total variation based segmentation models (convexified Chan-Vese
Model). After that, I will move to the topic on biological shape
processing and analysis. Within this category, I will mainly discuss
the following two topics: brain aneurysm segmentation in 3D biomedical
images and multiscale representation for shapes and its applications
in blood vessel recovery (surface inpainting) and others. Some future
work and ongoing projects will be mentioned in the end.
