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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

Free-breathing High Quality Pulmometry MRI: 3D Cones Acquisition with Motion Compensation

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BLBochao LiChangchun University of Science and TechnologyQLQi LiuSun Yat-sen UniversityJXJian XuWannan Medical College

Key Points

  • High-resolution imaging was achieved using motion compensation, resulting in images free from respiratory artifacts.
  • Ventilation maps derived from the method were validated in healthy subjects, suggesting clinical relevance.
  • The approach uses a 3D conical trajectory to acquire pulmonary images, greatly enhancing image quality.
  • This technique holds significant implications for diagnosing and monitoring lung diseases like COPD and pulmonary fibrosis.

Abstract

Motivation: The need for a non-ionizing, high-resolution 3D lung imaging method with minimized motion artifacts to evaluate pulmonary disease. Goal(s): To develop a free-breathing, high-resolution volumetric lung MRI technique that reduces motion blurring and provides functional ventilation maps. Approach: Free-breathing pulmonary images were acquired using a 3D SPGR UTE sequence with a 3D conical trajectory. Respiratory motion was extracted from central k-space, enabling phase-resolved reconstruction, ventilation mapping, and motion-compensated reconstruction. Results: The integration of 3D conical readouts with motion-compensated reconstruction yielded high-resolution images devoid of respiratory motion artifacts. Regional ventilation mapping derived from the reconstruction pipeline was validated in healthy subjects. Impact: Free-breathing 3D conical acquisition with motion compensation enables isotropic, high-resolution volumetric lung imaging with reduced motion blurring. This technique is crucial for diagnosing and monitoring lung diseases like COPD and pulmonary fibrosis, significantly enhancing noninvasive diagnostic capabilities and treatment planning.

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Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68d4597031b076d99fa5c3efhttps://doi.org/10.58530/2025/5180
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