Seeing, feeling, learning: from the digital twin to surgical training
How can complex surgical interventions be practiced before they are carried out on patients? The HaptiVisT research project addressed this question. The goal was to combine medical image data, virtual reality, and haptic feedback into a realistic training system for surgical education and further training.
Experience and routine are crucial, especially for surgical interventions in anatomically challenging areas. At the same time, training opportunities are limited, and access to specialized training centers is often restricted. Digital training systems open up new possibilities here, allowing surgical processes to be practiced safely, reproducibly, and independently of time and location in so-called “serious games.”
The project resulted in the development of the virtual demonstrator “HandsOn.surgery.” Using patient-specific CT and DVT data, surgeons can practice individual procedures on a digital twin of the patient without risk, at any time, and as often as needed. Haptic feedback allows users not only to see but also to feel virtual tissue structures.
In addition to the training system, new approaches were developed for modeling surgical instruments, for haptic rendering of biological structures, and for designing intuitive human-machine interactions. The insights gained are still making important contributions to research fields such as medical robotics, digital twins, and immersive training systems.