Abstract: The point cloud representation of blood vessels plays an important role in medical applications.It helps doctors to visually understand the geometry of blood vessels.In addition to visualizing the local geometric information,simulation of systemic blood vessels is required with applications such as medical assistive technology and radiological simulation,in which the topology and geo-metric information of the whole vascular system need to be systematically reconstructed.A systemic vascular model reconstruction method based on point cloud data was proposed:a one-dimensional skeletal model of systemic blood vessels with radius information of vessel section was reconstructed,and the model can be directly used for simulation of blood flow and blood pressure.Compared with the previous method,the advantage is that it can be applied to large-scale complex whole-body vascular point cloud data,and the reconstructed model can be directly used for simulation.The experimental results with the BodyParts3D dataset show that compared with the existing methods,the one-dimensional skeletal model of the whole body blood vessel reconstructed by the method has more accurate topological connection and can provide better simulation results.