,MRI.

Xiaotong Liu1, Jingfei He1, Chenghu Mi1

  • 1Tianjin Key Laboratory of Electronic Materials and Devices, School of Electronics and Information Engineering, Hebei University of Technology, 340 Xiping Road, Beichen District, Tianjin 300401, PR China.

Magnetic resonance imaging
|September 23, 2023
PubMed
概括

这项研究引入了一种新的低级加稀疏模型,使用张量奇数值分解 (T-SVD) 来加速动态磁共振成像 (DMRI). 该方法有效地从样本不足的数据中重建高质量的DMRI,提高成像速度和细节.

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