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基于自制标尺的C臂X光全景图像拼接方法

C-arm X-ray image mosaic using home-made ruler
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摘要 在对C臂X光图像和现有的医学图像匹配方法分析的基础上,提出了一种基于自制标尺的C臂X光图像拼接方法.该图像拼接方法分为失真校正、图像匹配和图像合成三步,其中图像匹配是算法的关键.首先采用双线性变换模型进行失真校正;然后基于自制标尺,采用图像灰度匹配法对校正后的C臂X光图像进行图像匹配;最后将其余各幅图像间的匹配矩阵均换算成以第一幅图像为基准,据此合成出全景图像.通过尸腿骨X光图像拼接实验验证了该方法的准确性. Based on the analysis of C-arm X-ray images and the existing methods in medical image registration, a C-arm image mosaic method based on a home-made ruler is proposed. The X-ray images acquired in the image acquisition protocol are corrected with the bilinear transformation model, and the corrected images are processed by the intensity-based registra- tion and aligned in the coordination of the first image, so that the X-ray image panorama is formed. The accuracy and the effectiveness of this method is validated by C-arm images of the cadaver bone experiment.
作者 陈殿生 范兴 胡磊
机构地区 长春工业大学机电工程学院 北京航空航天大学机器人研究所
出处 《高技术通讯》 CAS CSCD 北大核心 2006年第10期1030-1033,共4页 Chinese High Technology Letters
基金 国家自然科学基金（60525314）资助项目
关键词 X光 几何校正 图像匹配 图像拼接 X-ray, geometric correction, image registration, image mosaic
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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高技术通讯
2006年 第10期

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