Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity

摘要：

Accurately corresponding a population of human cortical surfaces provides important shape information for the diagnosis of many brain diseases. This problem is very challenging due to the highly convoluted nature of cortical surfaces. Pairwise methods using a fixed template may not handle well the case when a target cortical surface is substantially different from the template. In this paper, we develop a new method to organize the population of cortical surfaces into pairs with high shape similarity and only correspond such similar pairs to achieve a higher accuracy. In particular, we use the geometric information to identify colocated gyri and sulci for defining a new measure of shape similarity. We conduct experiments on 40 instances of the cortical surface, resulting in an improved performance over several existing shape-correspondence methods.

作者: Pahal Dalal Feng Shi Dinggang Shen Song Wang

作者单位: Department of Computer Science and Engineering,University of South Carolina, Columbia, SC 29208, USA Department of Radiology and BRIC,University of North Carolina, Chapel Hill, NC 27599, USA Department of Radiology and BRIC,University of North Carolina, Chapel Hill, NC 27599, USAc Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, US

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 349-356

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）