Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Magn Reson Med. 2021 Sep;86(3):1345-1359. doi: 10.1002/mrm.28803. Epub 2021 Apr 15.
To propose a novel model incorporating virtual conjugate coil (VCC) reconstruction and wave encoding (Wave) for improved parallel MRI.
A novel model (VCC-Wave) incorporating VCC and Wave is proposed. The correlation matrix of the encoding operator is introduced to analyze the encoding capability. In addition, simulation experiments are conducted to gain insights into VCC-Wave. In vivo experiments are performed to compare VCC-Wave with alternative methods.
The correlation matrix and the simulation experiments show that the proposed VCC-Wave can utilize more priors of Wave under the VCC framework. In vivo experiments show that the proposed VCC-Wave can achieve good image quality at a 6-fold acceleration in high-resolution and high-bandwidth cases, indicating an improvement over the original Wave technique.
The proposed VCC-Wave can not only combine the advantages of both the VCC and Wave but also exploit more priors of Wave under the VCC framework. The improvement in VCC-Wave alleviates the limitation of Wave in high-resolution and high-bandwidth cases.
提出一种新的模型，结合虚拟共轭线圈（VCC）重建和波编码（Wave），以提高并行 MRI 的性能。
提出了一种新的模型（VCC-Wave），结合了 VCC 和 Wave。引入了编码算子的相关矩阵来分析编码能力。此外，还进行了模拟实验以深入了解 VCC-Wave。进行了体内实验，将 VCC-Wave 与其他方法进行比较。
相关矩阵和模拟实验表明，所提出的 VCC-Wave 可以在 VCC 框架下利用更多的 Wave 先验信息。体内实验表明，在高分辨率和高带宽情况下，所提出的 VCC-Wave 可以实现良好的图像质量，与原始的 Wave 技术相比有所改进。
所提出的 VCC-Wave 不仅可以结合 VCC 和 Wave 的优势，还可以在 VCC 框架下利用更多的 Wave 先验信息。VCC-Wave 的改进缓解了 Wave 在高分辨率和高带宽情况下的局限性。
