Abstract
Purpose: To obtain whole lung morphometry measurements from 129Xe in a single breath-hold with 3D multiple b-value 129Xe diffusion-weighted MRI (DW-MRI) with an empirically optimized diffusion time and compressed sensing for scan acceleration. Methods: Prospective three-fold undersampled 3D multiple b-value hyperpolarized 129Xe DW-MRI datasets were acquired, and the diffusion time (Δ) was iterated so as to provide diffusive length scale (LmD) estimates from the stretched exponential model (SEM) that are comparable to those from 3He. The empirically optimized 129Xe diffusion time was then implemented with a four-fold undersampling scheme and was prospectively benchmarked against 3He measurements in a cohort of five healthy volunteers, six ex-smokers, and two chronic obstructive pulmonary disease patients using both SEM-derived LmD and cylinder model (CM)-derived mean chord length (Lm). Results: Good agreement between the mean 129Xe and 3He LmD (mean difference, 2.2%) and Lm (mean difference, 1.1%) values was obtained in all subjects at an empirically optimized 129Xe Δ = 8.5 ms. Conclusion: Compressed sensing has facilitated single-breath 3D multiple b-value 129Xe DW-MRI acquisitions, and results at 129Xe Δ = 8.5 ms indicate that 129Xe provides a viable alternative to 3He for whole lung morphometry mapping with either the SEM or CM. Magn Reson Med 79:2986–2995, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Author supplied keywords
Cite
CITATION STYLE
Chan, H. F., Stewart, N. J., Norquay, G., Collier, G. J., & Wild, J. M. (2018). 3D diffusion-weighted 129Xe MRI for whole lung morphometry. Magnetic Resonance in Medicine, 79(6), 2986–2995. https://doi.org/10.1002/mrm.26960
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.