
Development and evaluation of a haptic-visual learning system for surgical interventions


Project description
Motivation
Performing complex operations on bony tissue while avoiding injuries to risk structures such as nerves or vessels is one of the most important activities of surgeons. In order to perform such operations safely and without errors, extensive theoretical and practical (sometimes extra-occupational) training and further education as well as many years of experience are necessary.
Goals and procedure
In this project, a haptic-visual training system for surgical interventions on complex bone structures using clinical volume data (CT, MRT) will be realized, which is designed as a so-called "serious game" with immersive didactics. It is a synergistic supplement to existing training and education possibilities on animal models and fills the gap between "training on patients" and realistic virtual interaction by means of a haptic and visual learning experience.
Innovations and perspectives
The continuous further training of medical staff in the field of minimally invasive surgery is thus not limited to a few specialised centres, but can also be extended to smaller clinics in rural areas. Such a broadening of practice-oriented education and training in surgical specialties can make an important contribution to counteracting the lack of specialists in the area.
Realization of minimally invasive hand surgery
Subproject of the OTH Regensburg
Promotion
BMBF funding measure within the funding priority "ICT 2020 - Research for Innovations", funding code 16SV7560
Period and volume
June 2016 to May 2019
Overall project: approx. 1.26 million €, sub-project of the OTH Regensburg: approx. 357 T€
Cooperation partners
- szenaris GmbH, Bremen
- seeFront GmbH, Hamburg
- Fraunhofer-Institut für Integrierte Schaltungen (IIS), Erlangen
- Universitätsklinikum Leipzig AöR, Leipzig
- Universitätsklinikum Regensburg, Regensburg
- Ostbayerische Technische Hochschule Regensburg, Regensburg
Team OTH Regensburg
- Christoph Palm (Projektleiter, Regensburg Medical Image Computing)
- Johannes Maier (Regensburg Medical Image Computing)
- Sonja Haug (Institut für Sozialforschung und Technikfolgenabschätzung)
- Karsten Weber (Institut für Sozialforschung und Technikfolgenabschätzung)
- Ulrike Scorna (Institut für Sozialforschung und Technikfolgenabschätzung)
- Florian Olbrich (Sensorik Applikationszentrum)