required to compute the different steps of our pipeline without considering the time required to render the vessel model, as this can be exchanged. The values obtained for the different configurations tested are presented in Table \[tab:perf\]. To investigate the effect of different void space sizes, we evaluated our algorithm with three different camera configurations: one far away from the vessels in which the branches do not intersect with the borders of the screen (column *Far* on Table \[tab:perf\]), a camera at a medium distance in which the object intersects the screen borders only in a few places (column labeled as *Medium* on Table \[tab:perf\]), and a close view in which the vessels intersect with the screen borders at several places (*Close* column on Table \[tab:perf\]).

The results of these experiments show that the worst performance was obtained with the distant camera, which is due to two different facts. With a distant camera, the number of pixels for which the depth value has to be computed is higher than in close-up camera configurations. Moreover, in these configurations, most of the pixels of the VSS belong to the same big void space since the vessels do not intersect with the image 