Figure 1.

The overall workflow. After the selection and exclusion of patient population and CTPA images acquisition, eight substructures of heart and pulmonary arteries were automatically segmented as regions of interest (ROIs). Morphological features and their second-order features are extracted from these ROIs. Then, the essential features were selected through statistical methods and then reconstructed to reduce the redundancy of the features matrix. In the last step, meaningful features and corresponding results are set as an input through machine learning algorithms to obtain a regression model and a classification model.