Estimation of Motion Vectors in 3D Ultrasound Images using Ant Colony Optimization

摘要：

Motion estimation is an essential part of ultrasound image sequence analysis. It can be used for speckle suppression, 3D image reconstruction, motion based image segmentation and elastography. Ant Colony Optimization (ACO) is inspired by a colony of ants that search for a common source of food. ACO algorithms have the ability to integrate knowledge sources about the problem into the construction of a new solution. In order to find robust motion vectors in Ultrasound image sequence, multiple knowledge sources can be used, for example, motion vector constraints along sequence (temporal constraints), local similarity of motion vectors (spatial constraints). This paper aims to integrate these knowledge sources into a new solution by ACO.

关键词： Motion estimation ant colony optimization Ultrasound

作者: Yaonan Zhang Le Yang

作者单位: Sino-Dutch Biomedical and Information Engineering School Northeastern University Shenyang, China

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: 951-955

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）