Vascular intervention operation training construction method and system based on deep reinforcement learning

The invention provides a vascular interventional operation training construction method and system based on deep reinforcement learning, and the method comprises the steps: collecting the operation information of an interventional expert doctor and the position coordinate data of a corresponding catheter tip, and enabling the operation information to comprise the data of the force and torque applied by the catheter tip in each position coordinate in a vascular environment; forming a data set; constructing a training guidance model based on the operation information of the interventional expert doctor and the position coordinate data of the corresponding catheter tip by adopting a deep reinforcement learning mode, and carrying out updating training on the training guidance model by using the data set; the system is applicable to the method; according to the invention, the operation experience of an expert doctor is extracted through a deep reinforcement learning algorithm and then is used for training guidance and quantitative evaluation of a trainee; the problems that a traditional training mode only depends on blind exploration of a trainee and mechanical repetition, so that the training efficiency is low, and technical bottlenecks exist are solved.