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A 3D fast MR elastography sequence with interleaved multislab acquisition and Hadamard encoding.

Runke Wang1,2,3, Yu Chen1,2,3, Fuhua Yan4,5

  • 1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Magnetic Resonance in Medicine
|October 21, 2024
PubMed
Summary
This summary is machine-generated.

A new rapid MR elastography (MRE) sequence using DENSE imaging accelerates scan times significantly without causing distortion artifacts. This advancement enhances MRI functional capabilities for accurate stiffness measurements.

Keywords:
DENSEHadamard encodinginterleaved multislab acquisitionmagnetic resonance elastographystack‐of‐stars

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Medical Physics

Background:

  • Magnetic Resonance Elastography (MRE) is crucial for assessing tissue stiffness.
  • Existing MRE techniques face limitations in acquisition speed and potential distortion artifacts.
  • Enhancing MRE's functional capability requires faster imaging without compromising accuracy.

Purpose of the Study:

  • To develop a novel MRE sequence for rapid data acquisition.
  • To achieve high-speed MRE imaging without introducing distortion artifacts.
  • To improve the overall functional capability of MRI for elastography applications.

Main Methods:

  • Utilized a displacement-encoded stimulated echo (DENSE) sequence with multiphase acquisition.
  • Implemented a center-out golden-angle stack-of-stars sampling for improved SNR.
  • Employed Hadamard encoding and interleaved multislab acquisition for efficiency.
  • Applied parallel imaging and compressed sensing for accelerated acquisition.

Main Results:

  • Achieved a 6-fold acceleration compared to GRE MRE, further accelerated 8-fold with PI/CS.
  • Demonstrated minimal stiffness measurement variance (<9.23%) across sequences.
  • Reported higher contrast-to-noise ratio (1.38) compared to EPI-based sequences.
  • Validated accurate stiffness estimation and artifact avoidance in brain imaging.

Conclusions:

  • Developed a rapid DENSE-based MRE sequence.
  • Achieved acquisition speeds comparable to EPI-based sequences.
  • Maintained signal-to-noise ratio (SNR) and avoided distortion artifacts.