3D Multi-Modality Medical Image Registration based on Quantum-behaved Particle Swarm Optimization Algorithm

摘要：

　　Image registration based on mutual information is of high accuracy and robustness.Unfortunately,the mutual information function is generally not a smooth function but one containing many local maxima,which has a large influence on optimization.This paper proposes a registration method based on Quantum-behaved Particle Swarm Optimization Algorithm.Not only QPSO has less parameters to con-troll,but also does its sampling space at each iteration covers the whole solution space.Thus QPSO can find the best solution quickly and guarantee to be global convergent.Experiments shows that this registration method could efficiently restrain local maxima of mutual information function and it can improve accuracy.Compare with the gold standard,the subvoxel accuracy can be achieved.

关键词： component mage registration Mutual information Quantum-behaved Particle Swarm Optimization Algorithm

作者: Lihui Zhu Zhijun

作者单位: Jiangnan university Network Information&Operation Center Wuxi,China Jiangnan university Archives Wuxi,China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 312-315

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）