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A 3D k-space Fourier encoding and reconstruction framework for simultaneous multi-slab acquisition.

Erpeng Dai1, Yuhsuan Wu1, Wenchuan Wu2

  • 1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China.

Magnetic Resonance in Medicine
|May 3, 2019
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Summary

A new simultaneous multi-slab (SMSlab) 3D k-space framework uses joint RF and gradient encoding for high-resolution MRI. This method improves signal-to-noise ratio and allows for faster imaging, beneficial for diffusion and functional MRI.

Keywords:
3D k-spaceCAIPIRF encodinghigh-resolutionsimultaneous multi-slab

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • K-space acquisition and reconstruction

Background:

  • Conventional multi-slab MRI acquisition faces challenges with inter-slab gaps, affecting k-space formation.
  • Existing methods struggle to maintain signal-to-noise ratio (SNR) at high acceleration factors.

Purpose of the Study:

  • To introduce a novel 3D k-space Fourier encoding and reconstruction framework for simultaneous multi-slab (SMSlab) acquisition.
  • To demonstrate the framework's effectiveness in achieving high-resolution imaging.

Main Methods:

  • Theoretical analysis of inter-slab gap interference in SMSlab 3D k-space formation.
  • Application of joint radiofrequency (RF) and gradient encoding to mitigate gap interference.
  • In vivo experiments to validate the proposed theory and evaluate acceleration capabilities.

Main Results:

  • Reconstruction of high-resolution (1.0 mm isotropic) images using the SMSlab 3D framework.
  • Successful application of controlled aliasing in parallel imaging sampling and 2D GRAPPA reconstruction.
  • Demonstrated superior SNR maintainability (lower g-factors) compared to conventional multi-slab acquisition, particularly at high acceleration.

Conclusions:

  • Joint RF and gradient encoding enables SMSlab within a 3D Fourier encoding framework.
  • The method facilitates high isotropic resolution imaging with potential for further acceleration.
  • The SMSlab 3D k-space framework is valuable for high-resolution and high-efficiency diffusion and functional MRI.