Dynamic x-ray imaging includes a pulse source, short-exposure time and dose is equivalent to the conventional static system. Once imaging is complete, the image is registered into the ANTsR system for motion correction on intra-subject, inter-subject and/or dynamic to static. Multi-Atlas segmentation with joint label fusion is then implemented using a deep convolutional inverse graphics network. Perfusion is determined using Wigger’s 12 parameters plus an additional 7 parameters. Functional assessment, classification and decision-making depends on the goals of the researchers. Dynamic x-ray has multiple applications such as regulating pulmonary ventilation function, structure visibility, and post-surgery recovery.