Registration-Based Automatic 3D Segmentation of Cardiac CT Images

摘要：

　　Segmenting whole heart from cardiac computed tomography (CT) images can provide basis for evaluation of cardiac function and help improve accuracy of clinical diagnosis.Manual segmentation is the most accurate method for cardiac segmentation.But it is time consuming and not sufficiently reproducible.However,clinicians still rely on this method in practical applications.So a fully automatic method is needed to improve the segmentation efficiency.This paper proposes a registration-based automatic approach for threedimensional (3D) segmentation of cardiac CT images.The proposed method utilizes the similarity of cardiac CT images between different individuals,and uses registration to achieve segmentation.Affine transformation is first implemented to achieve global coarse registration.Then,cubic B-splines are used to refine the local details in locally accurate registration.Mutual information (MI) is used as the similarity measure,and adaptive stochastic gradient descent (ASGD) as the optimization algorithm.Our method is applied to the dual-source cardiac CT images to segment whole heart.Experimental results show that the proposed method can automatically segment whole heart from cardiac CT images.

关键词： Automatic CT images Registration-based Segmentation Whole heart

作者: Lihua Li Rongqian Yang Yueshan Huang Xiaoming Wu

作者单位: Department of Biomedical Engineering, South China University of Technology, Guangzhou, Guangdong, China

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 908-911

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）