基于双树复小波变换的磁共振幅值相位同时重建  

Simultaneous Reconstruction of Magnetic Resonance Magnitude and Phase Based on Dual Tree Wavelet Transform

作　　者：李艳丽[1] 赵林嫚 何为[1] LI Yanli;ZHAO Linman;HE Wei(College of Computer&Information Technology,Xinyang Normal University,Xinyang 464000,China)

机构地区：[1]信阳师范学院计算机与信息技术学院,河南信阳464000

出　　处：《信阳师范学院学报（自然科学版）》2023年第1期132-136,共5页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(31872704);信阳师范学院研究生科研创新基金(2020KYJJ40)。

摘　　要：为了加快磁共振成像速度及同时获取可信度较高的磁共振幅值和相位信息,提出了一种基于双树复小波变换的磁共振幅值和相位同时重建算法。该算法在传统的压缩感知框架下,借助双树复小波变换的多方向选择性和平移不变性,对幅值和相位分别进行稀疏变换。实验结果表明,在不同的数据集下,该算法均能提高重建磁共振相位图像的质量,并一定程度地改善了幅值图像。In order to speed up the Magnetic Resonance Imaging(MRI) and to obtain the magnitude and phase information with high reliability, an algorithm for simultaneous reconstructing magnitude and phase images of MRI is proposed based on dual tree complex wavelet transform. Under the compressed sensing framework, the proposed algorithm employs the dual tree complex wavelet transform as the sparse representation for magnitude and phase parts, and therefore benefits from the multi-directional selectivity and shift invariance of the dual tree complex wavelet transform. Experimental results show that, for different datasets, the algorithm can improve the quality of the reconstructed phase and magnitude images to some extent.

关 键 词：磁共振成像 压缩感知 双树复小波变换 稀疏变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] R445.2[自动化与计算机技术—计算机科学与技术]