学 术 报 告
报告人： 陈韵梅 (Chen YunMei) 教授
美国Florida大学数学系
题 目： A coupled minimization for medical image segmentation with priors
Abstract: We present a coupled optimization problem for image segmentation using prior shape and intensity profile. One part of the model minimizes a shape related energy and the
energy of geometric active contour with a parameter that balances the influence from these two. The minimizer corresponding to a fixed parameter in this minimization gives a segmentation and the alignment of the segmentation to prior shape. The second part of this model maximizes the mutual information of image geometry between the prior and the aligned novel image over all the alignments corresponding to different parameters in the first part. By this coupling the segmentation arrives at higher image gradient, forms a shape similar to the prior, and captures the prior intensity profile. We also propose using mutual information of image geometry to generate intensity model from a set of training images. Experimental results on cardiac ultrasound images are presented. These results indicate that the proposed model provides close agreement with expert traced borders, and the parameter determined in this model for one image can be used for images with similar properties. The existence of a solution to the proposed minimization problem is also discussed.
地 点： 理科大楼A1416多媒体教室
时 间： 2004年5月14日（星期五）
下午：3: 00—4: 00
数学系
2004/5/8
