For illustrative purposes, we were able to reproduce typical pulse curve shapes in the virtual artery model, for example by simulating vessels set to ’narrow’ or ‘wide’. Next, we defined a total of eight system parameters. They are used to reproduce almost all pulse waveforms occurring in real people’s lives. These parameters are both based on a reasonable simulation time and a high simulation quality. Moreover, these parameters ultimately describe the actual arterial circulation properties, making them indispensable. Hence, they are also of high interest for clinical application.
The final step was to develop a computational rule that adjusted our eight model parameters so that we ended up with the image of the arterial circulatory system of a real person. As a result, the data ‘output’ looks like this: The optimized model parameter set as well as the achieved simulation quality can be unmistakably read off in percentages via the software. In ‘badly’ simulated cases the quality reaches an accuracy of 97%, often 99.5%, but also 99.9%. At 100%, there would be a perfect match between simulation and reality.