摘要
3D/3D医学图像的配准在临床上具有重要的临床意义与医学价值,尤其在脑外科手术导航与病灶点定位上,病人的不同模态影像数据需要3D配准,便于更加全面、精确的分析目标组织的医学特性。本文在研究经典配准方法的基础上,将经典配准方法内嵌于Clifford代数计算空间,在Clifford代数空间上构建配准过程计算的几何要素与配准操作的平移算子、几何旋转算子,浮动图像进行对应的算子运算,实现头颅部3D多模医学图像配准。配准方法应用于国际上两个著名3D医学数据库,实验结果表明:本文方法不仅继承经典配准算法的优点,而且配准精度高,几何意义直观,计算时间短。
3D/3D medical image registration has important clinical significances and medical value, especially to the operation navigation and lesion location in brain surgery, the different modal 3D image data of patients need to be registered so that the medical characteristics of target tissue can be analyzed more completely and accurately. On the basis that classical registration methods are researched, the classical registration methods are embedded in Clifford algebra space, and the Geometric elements during registration calculating and the translation operator Geometric rotation operator during registration operation are built in Clifford algebra space. Then the floating image is operated with corresponding operator to achieve multimodality 3D medical image registration in head and skull. This registration method is applied to two famous 3D medical data base in the world. The experimental result indicates that this method not only inherits the advantage of classical registration methods, but also has high registration precision and intuitive geometric meaning, reducing the computing time.
出处
《光电工程》
CAS
CSCD
北大核心
2014年第1期65-72,共8页
Opto-Electronic Engineering
基金
国家自然科学基金(61273024)
江苏省自然科学基金青年基金(KB2012227)
浙江省重中之重学科信息处理与自动化技术开放基金项目(20120816)
宁波市自然科学基金(2012A610050)资助
