Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
A 3D k-space Fourier encoding and reconstruction framework for simultaneous multi-slab acquisition
First author：Dai Erpeng
Corresponding author：Guo Hua
essential_information
- Person in charge：Dai Erpeng
- Data Sources： OTHERS
- Number of papers：OTHERS20190809
- Published time：2019-05-02
2019-05-02
Published articles
Journal：Magnetic resonance in medicine
Publication type: Full Paper
IF(IF): 4.668
PMID: 31045283 Link To Pubmed Full text Download
Background And Purpose
Method
First, it is illustrated in theory how the inter-slab gap interferes with the formation of the SMSlab 3D k-space. Then, joint RF and gradient encoding are applied to remove the inter-slab gap interference and form a SMSlab 3D k-space. In vivo experiments are performed to validate the proposed theory. Acceleration in the proposed SMSlab 3D k-space is also evaluated.
Conclusion
It is demonstrated that the joint application of RF and gradient encoding enables SMSlab within a 3D Fourier encoding framework. Images with high isotropic resolution can be reconstructed, and further acceleration is also applicable. The proposed SMSlab 3D k-space can be valuable for both high-resolution and high-efficiency diffusion and functional MRI.
Main results
High-resolution (1.0 mm isotropic) images can be reconstructed using the proposed SMSlab 3D framework. Controlled aliasing in parallel imaging sampling and 2D GRAPPA reconstruction can also be applied in the SMSlab 3D k-space. Compared with conventional multi-slab acquisition, SMSlab exhibits better SNR maintainability (such as lower g-factors), especially at high acceleration factors.