Visible Human图象数据集的自动匹配方法  

AUTOMATIC METHODS FOR REGISTRATION OF VISIBLE HUMAN DATASET

作　　者：贾春光[1] 谭欧[1] 吕旭东[1] 段会龙[1] 吕维雪[1] 

机构地区：[1]浙江大学生物医学工程研究所,杭州310027

出　　处：《中国生物医学工程学报》2001年第2期143-147,共5页Chinese Journal of Biomedical Engineering

基　　金：中国博士后基金资助项目

摘　　要：VisibleHuman计划是由美国国家医学图书馆发起建立的真实三维人体的CT、MRI和解剖切面的数字化图象库。VisibleHuman数据集已经成为构造电子医学图象库和虚拟解剖环境的理想基础。本文首先对CT图象进行灰度校正 ,并用基于像素相似性的方法实现了CT图象和MRI图象间的自动匹配。具有自适应空间搜索的遗传算法被用于实现全局性的优化过程。The Visible Human Project (VHP) is a digital image library of CT, MRI and cryosection images of the three dimensional male and female human body developed by the National Library of Medicine. The Visible Human Project data sets tend to serve as a common reference point for the construction of medical image libraries and virtual anatomy environments. In this paper, CT images are correlated with gray level firstly, and methods based on voxel similarity are used to match the CT and MRI images automatically. Genetic algorithms with adaptive search space are used to establish the global optimization. Preliminary experiment results are given in this paper.

关 键 词：VisbleHuman计划 医学图象 匹配 灰度校正 

分 类 号：R318.5[医药卫生—生物医学工程] TP391.41[医药卫生—基础医学]