Atlas based Segmentation of Brain Structures in 3D MR Images

摘要：

In this paper, we propose a robust atlas-based automatic scheme for segmentation of subcortical region and cerebellum. Two separate schemes are presented, each for registration of subcortical structures and cerebellum respectively. Registration between atlas and subject MR image is performed using thin plate spline as non-rigid transformation, normalized mutual information as image similarity measure and powells method as optimization technique. The final transformation of subcortical structures and cerebellum is used to map the segmentation data-set from atlas to subject image. Results obtained through automatic segmentation are validated for seven structures in ten subjects using sensitivity, positive predictive value and dice coefficient. These structures include left and right ventricles, caudate nuclei, putamena and cerebellum. The values of sensitivity, positive predictive value and dice coefficient range from 0.84 to 0.98, 0.82 to 0.99 and 0.87 to 0.96 respectively.

作者: Syed Sohaib Ali Muhammad Faisal Khan

作者单位: Electrical Engineering Department, Military College of Signals National University of Sciences and Technology (NUST)Islamabad, Pakistan

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 139-143

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）