欠采样
肺
医学
肺病
病理
内科学
计算机科学
人工智能
作者
Ian R. Stecker,Abdullah S. Bdaiwi,Peter Niedbalski,Neelakshi Chatterjee,Md Monir Hossain,Zackary I. Cleveland
标识
DOI:10.1016/j.jmr.2024.107741
摘要
Lung diseases are almost invariably heterogeneous and progressive, making it imperative to capture temporally and spatially explicit information to understand the disease initiation and progression. Imaging the lung with MRI-particularly in the preclinical setting-has historically been challenging because of relatively low lung tissue density, rapid cardiac and respiratory motion, and rapid transverse (T
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