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Related Experiment Video

Updated: Aug 26, 2025

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI
09:08

Author Spotlight: Standardization and Best Practices for Advancing Lung Imaging Using 129Xe MRI

Published on: November 21, 2023

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Assessment of pulmonary morphometry using hyperpolarized 129 Xe diffusion-weighted MRI with variable-sampling-ratio

Qian Zhou1,2, Haidong Li1,2, Qiuchen Rao1

  • 1Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China.

Medical Physics
|October 5, 2022
PubMed
Summary

Variable-sampling-ratio compressed sensing (VCS) accelerates hyperpolarized 129 Xe diffusion-weighted MRI, reducing scan times fourfold. This technique preserves image quality, enabling effective evaluation of lung injuries in smokers.

Keywords:
compressed sensinghyperpolarized 129Xe DW-MRIvariable sampling ratio

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Area of Science:

  • Pulmonary imaging
  • Magnetic Resonance Imaging (MRI)
  • Medical Physics

Background:

  • Hyperpolarized (HP) 129 Xe diffusion-weighted MRI (DW-MRI) quantifies lung microstructure but requires long acquisition times.
  • This lengthy acquisition is challenging for patients with severe lung diseases unable to sustain breath holds.

Purpose of the Study:

  • To accelerate HP 129 Xe DW-MRI using variable-sampling-ratio (VCS) compressed sensing patterns.
  • To evaluate the efficacy of VCS for human pulmonary imaging.

Main Methods:

  • Retrospective simulations determined optimal VCS patterns for multiple b-values.
  • Image quality was assessed using MAE and SSIM, comparing VCS with conventional CS.
  • Pulmonary morphometric parameters were evaluated between VCS and fully sampled datasets.
  • Prospective VCS DW-MRI was performed on smokers and healthy volunteers.

Main Results:

  • VCS achieved a fourfold reduction in acquisition time with comparable image quality to fully sampled data.
  • Reconstructed images using VCS showed lower MAE and higher SSIM than conventional CS.
  • No significant differences in morphometric parameters were found between VCS and fully sampled datasets.
  • Significant differences in lung parameters were identified between smokers and healthy controls using VCS.

Conclusions:

  • VCS significantly accelerates HP 129 Xe DW-MRI while maintaining diagnostic image quality.
  • The method shows promise for evaluating smoking-induced lung injuries and clinical diagnosis of lung diseases.