Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning-Reference-Cited by-同舟云学术

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Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning

Published:2021-07-13 Issue:1 Volume:32 Page:702-713
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Duan Caohui,Deng He,Xiao Sa,Xie Junshuai,Li Haidong,Zhao Xiuchao,Han Dongshan,Sun Xianping,Lou Xin,Ye Chaohui,Zhou Xin^ORCID

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Key Research Program of Frontier Sciences, CAS

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-021-08126-y.pdf

Reference46 articles.

1. Mugler JP III, Altes TA (2013) Hyperpolarized 129Xe MRI of the human lung. J Magn Reson Imaging 37(2):313–331

2. Doganay O, Matin T, Chen M et al (2019) Time-series hyperpolarized xenon-129 MRI of lobar lung ventilation of COPD in comparison to V/Q-SPECT/CT and CT. Eur Radiol 29:4058–4067

3. Kaushik SS, Cleveland ZI, Cofer GP et al (2011) Diffusion-weighted hyperpolarized 129Xe MRI in healthy volunteers and subjects with chronic obstructive pulmonary disease. Magn Reson Med 65:1154–1165

4. Ouriadov A, Farag A, Kirby M, McCormack DG, Parraga G, Santyr GE (2013) Lung morphometry using hyperpolarized 129Xe apparent diffusion coefficient anisotropy in chronic obstructive pulmonary disease. Magn Reson Med 70:1699–1706

5. Tafti S, Garrison WJ, Mugler JP III et al (2020) Emphysema index based on hyperpolarized 3He or 129Xe diffusion MRI: performance and comparison with quantitative CT and pulmonary function tests. Radiology 297:201–210

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