Develop 3D MR spirometry post-processing workflow

We will develop 3D MR spirometry post-processing deep learning techniques and investigate related biomechanical models of the pulmonary function. We will define multiple new parameters using 3D MR spirometry including isotropic metrics embedded in trajectories and local flow-volume loops (e.g. regional FEV1 and tidal volume, TD) and anisotropic ones like local strain and compliance. We will investigate new determinants and biomarkers of lung disease upon those produced by reference 3D MR spirometry at standard fields.