摘要
目的探讨基于压缩感知理论的主成分分析法对磁共振稀疏T2质子加权像的快速重构。方法利用安捷伦7 T活体动物磁共振成像对正常SD大鼠的大脑进行T2质子加权像欠采样扫描,并在MATLAB上运用主成分分析法对所得图像进行重构。结果利用主成分分析方法可使得磁共振稀疏图像成像速度提高4倍。结论基于压缩感知理论的主成分分析法实现快速磁共振成像将在临床上具有很好的发展潜力。
Objective Aim to reconstruct MRI sparse T2 map rapidly by Principal Component Analysis based on the theory of Compressed sensing. Methods The sparse T2 map of in vivo SD normal mice brain experiments were conducted under an Agilent 7.0 T animal MRI system. And the reconstructed images were obtained by principal component analysis algorithm by the software of MATLAB. Results The spatial resolution of the reconstructed T2 map is satisfied when the data acquisition speed is 4 times over the based one. Conclusion The performance of the proposed algorithm of accurate MRI T2 map in reducing scan time would have much practical value in clinical application.
出处
《功能与分子医学影像学（电子版）》
2013年第2期40-42,共3页
Functional and Molecular Medical Imaging(Electronic Edition)
基金
国家自然科学基金重点项目(30930027)
广东省自然科学基金(S20130100013372)
广东省大学生创新实验项目(1056010106)
