摘要
目的提出一种基于模糊增强的重建算法,以改进PROPELLER采样数据中现有重建算法的不足。方法由每个K空间带补零重建出临时图像,然后提出模糊增强算法,增强后在图像域进行运动参数估计,进行运动补偿后由网格化重建算法重建出结果图像。结果该算法对于运动参数估计的精度更高,对刚性运动伪影的消除效果明显优于现有算法。结论该算法可以显著提高PROPELLER采样数据重建图像质量。
To improve the conventional reconstruction algorithm for PROPELLER MRI data, we propose a new algorithm based on fuzzy enhancement. The motion parameters were extracted from fuzzy enhanced images reconstructed through zero-padding strips. After motion compensation, the image was obtained through gridding reconstruction. The experiment results showed that this algorithm could estimate and compensate the motion more robustly and precisely, and the motion artifacts could be better suppressed to obtain improved image quality.
出处
《南方医科大学学报》
CAS
CSCD
北大核心
2007年第5期618-620,共3页
Journal of Southern Medical University
基金
国家973项目(2003CB716102)~~
