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Correction: Chen et al. Multivariate Framework of Metabolism in Advanced Prostate Cancer Using Whole Abdominal and Pelvic Hyperpolarized 13C MRI-A Correlative Study with Clinical Outcomes. <i>Cancers</i> 2025, <i>17</i>, 2211.

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Author Spotlight: Optimized Lung MRI Protocol with Computationally Efficient Reconstruction Methods
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Motion-compensated low-rank reconstruction for simultaneous structural and functional UTE lung MRI.

Fei Tan1,2, Xucheng Zhu1,2,3, Marilynn Chan4

  • 1UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco, San Francisco, California, USA.

Magnetic Resonance in Medicine
|May 9, 2023
PubMed
Summary

This study introduces motion-compensated low-rank reconstruction (MoCoLoR) to improve 3D UTE MRI lung imaging by reducing motion artifacts and enhancing signal-to-noise ratio (SNR) for better functional lung assessment.

Keywords:
motion compensationpulmonary MRIultrashort echo time (UTE)ventilation imaging

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Three-dimensional (3D) UTE MRI offers simultaneous structural and functional lung imaging.
  • Limitations include respiratory motion and low lung parenchyma signal-to-noise ratio (SNR).

Purpose of the Study:

  • To enhance 3D UTE MRI lung imaging quality using a novel respiratory phase-resolved reconstruction approach.
  • Introduce motion-compensated low-rank reconstruction (MoCoLoR) for improved data utilization and image quality.

Main Methods:

  • MoCoLoR formulation as an optimization problem incorporating a low-rank constraint and estimated motion fields.
  • Application of MoCoLoR, XD, and motion state-weighted motion-compensation (MostMoCo) to 18 free-breathing 3D radial UTE lung MRI scans.
  • Ventilation analyses performed post-reconstruction; parameter performance investigated.

Main Results:

  • MoCoLoR demonstrated efficient data utilization and higher apparent SNR compared to XD and MostMoCo.
  • High-quality, respiratory phase-resolved images were generated for ventilation mapping.
  • The method proved effective across a diverse patient range.

Conclusions:

  • MoCoLoR effectively improves simultaneous structural and functional lung imaging with 3D-UTE MRI.
  • This approach enhances data efficiency and image quality.
  • Enables free-breathing, non-sedated 3D UTE MRI for pediatric patients.