Figure 1.

The architecture of the platform. The purpose of this platform is to output the time-averaged wall shear stress values and distribution of the ascending aorta wall in the original computed tomography angiography image. Briefly, the network consists of two parts. The first part is automatic extraction of the aortic wall, and the coordinate information for each point in the point cloud (right) is retrieved from the vessel wall (left). The second is the time-averaged wall shear stress automatic estimation platform. After extracting the coordinate information of ascending aorta wall from the first part, we carried out the time-averaged wall shear stress estimation of each point through the PointNet-based deep learning algorithm, and finally the time-averaged wall shear stress distribution and values of ascending aorta are output. CTAs, computed tomography angiographies; TAWSS, time-averaged wall shear stress.