摘要
MRI过程中,患者的轻微运动会造成重建图像中含有运动伪影,降低成像质量。作者对基于最小熵约束的MRI运动伪影校正方法进行改进,自动缩小每次迭代k空间线的数目,同时改变原来单一步长的校正模式,在迭代过程中自动减小步长,节约了校正时间,改善了校正效果。基于Matlab图形用户界面,实现了MRI运动伪影校正算法,对仿真数据和实验数据的处理进行了显示,为进一步开发新的伪影校正方法提供了参考。
During the process of magnetic resonance imaging,the patient motion induces motion artifacts in the reconstructed image and degrades the quality of the image.In this paper,we study the phase recovery algorithm based on minimum entropy focus criterion constraint.In order to save time and improve the correction effect,we reduce the k-space line numbers and change the original single step correction mode by automatically reducing the step in each iteration.The motion artifacts correction program is developed under the graphic user interface in Matlab environment.It shows the results of simulation and imaging experiment,which provides a reference for the development of new methods.
出处
《磁共振成像》
CAS
CSCD
2013年第4期286-290,共5页
Chinese Journal of Magnetic Resonance Imaging
基金
国家自然科学基金(编号:30970782)
关键词
磁共振成像
平移运动
最小熵
相位恢复
Mamnetic resonance imaging
Translational motion
Minimum entropy
Phase recovery
