Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 81, Issue 4, Pages 2360-2373Publisher
WILEY
DOI: 10.1002/mrm.27559
Keywords
chemical shift saturation recovery; chronic obstructive pulmonary disease; hyperpolarized Xe-129 MRI; lung microstructure; parametric mapping
Funding
- German Center for Lung Research (DZL)
Ask authors/readers for more resources
Purpose: To develop a novel technique for voxel-based mapping of lung microstructural parameters using hyperpolarized Xe-129 dissolved-phase MR imaging during saturation recovery. Methods: A pulse sequence using a highly undersampled stack-of-stars trajectory was developed, and low-rank plus sparse matrix decomposition was employed for reconstruction of regional Xe-129 uptake dynamics into lung tissue. In 4 healthy volunteers and 9 patients with chronic obstructive pulmonary disease, the technique was tested and compared to chemical shift saturation recovery spectroscopy in patients. Reproducibility of Xe-129 gas uptake imaging was assessed by computing coefficients of variation, and results were compared with other modalities. Results: Numerical simulations and results from in vivo measurements in patients with chronic obstructive pulmonary disease showed that septal wall thickness and surface-to-volume ratio can be measured with an accuracy close to spectroscopic measurements. The average of the microstructural parameters of the total lung volume showed good reproducibility (coefficient of variation wall thickness: 7.4% coefficient of variation surface-to-volume ratio: 7.5%) and correlated strongly with the findings of global chemical shift saturation recovery spectroscopy. Gravitational gradients of microstructural parameters and increased heterogeneity in chronic obstructive pulmonary disease patients were observed. Conclusion: A novel technique for mapping of regional lung microstructural parameters was introduced, and its feasibility was shown in healthy volunteers and chronic obstructive pulmonary disease patients.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available