Lung elastography aims at measuring the lung parenchymal tissue elasticity for applications ranging from diagnostic purposes to biomechanically guided deformations. Characterizing the lung tissue elasticity requires four‐dimensional (4D) lung motion as an input, which is currently estimated by deformably registering 4D computed tomography (4DCT) datasets. Since 4DCT imaging is widely used only in a radiotherapy treatment setup, there is a need to predict the elasticity distribution in the absence of 4D imaging for applications within and outside of radiotherapy domain.

中文翻译：

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对抗性机器学习框架和生物力学模型指导的方法，可从呼气末期3DCT计算3D肺组织弹性

肺弹性成像的目的是测量肺实质组织的弹性，其应用范围从诊断到生物力学引导的变形。表征肺组织弹性需要输入四维（4D）肺运动作为输入，当前这是通过可变形地注册4D计算机断层扫描（4DCT）数据集来估算的。由于4DCT成像仅在放射治疗设置中被广泛使用，因此需要在没有4D成像的情况下预测在放射治疗领域内外的弹性分布。