摘要
在磁共振动态成像和神经成像应用中,由于医学先验信息的时变性,使得传统的约束成像法产生成像误差,且图像配准时间较长。该文提出以快速获取低分辨率图像作为参考图像的约束成像策略,以两帧图像的互信息量结合曲率匹配的图像配准方法。该方法通过对比时序图像相邻帧配准前后的互信息量更新参考图像、检测配准结果。实验结果表明,该方法配准精度高,计算量低,可实时动态成像。
Due to the time-varying anatomical information in the applications of magnetic resonance dynamic imaging and functional neuroimaging, the traditional constrained imaging suffers the imaging error and the long registration time. In this paper an imaging strategy is proposed to reconstruct rapidly a low-resolution image as the reference image, and make the image registration based on Mutual Information （MI） metric of two images combined with landmark curvature mapping. The proposed method calculates and compares the MI of adjacent frames of temporal image sequences before and after registration to decide whether to update reference images, as well as to verify the registration results. Experimental results show that the proposed method achieves high registration precision and reduces dramatically the computational cost, and thus it can be applied to real-time dynamic imaging.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第12期2942-2947,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(51105316)
陕西省科技计划项目(2009K09-16)资助课题
关键词
图像配准
约束成像
互信息量
曲率匹配
医学先验信息
Image registration
Constrained imaging
Mutual Information （MI）
Curvature mapping
Anatomical prior information
