3D Registration for PET/CT Images Using Genetic Algorithm

摘要：

In this paper, we proposed to find optimized image registration algorithm of PET/CT images by using Genetic Algorithms (GAs). The image registrations objective is the definition of a mapping that best matches two set of points or images, in this work the point matching problem was addressed employing a method based on nearest-neighbor. The mapping was handled by afflne transformations. Experiments were conducted using 3D synthetic point-sets with different affine transformations and noise. The results were compared against other optimization techniques and shown that applied Genetic Algorithms in PET/CT images registration method can produce more accurate PET/CT images registration than other in the past.

关键词： component Image Registration PET/CT Genetic Algorithm

作者: Weeragul Pratumgul Sucheera Phramala Kosin Chamnongthai

作者单位: Department of Electronic and Telecommunication, KMUTT Bangkok, Thailand Faculty of Business Administration Ratchathani University Ubonratchathani, Thailand

会议类型: 国际会议

会议名称: The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)

会议地点: 桂林

会议语种:英文

页码: 598-600

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）