TRANSNAV

The project aims at developping a multimodal navigation system to assist surgeons in planning, execution, and documenting catheter interventions in arteries. It encompasses a countervailance for patient’s movements due to breathing and heart beat. The visualisation is thus enhanced by a deep learning application to deliver useful visual navitagion aids. It delivers 3D visualisations and can thus render visible the exact position of surgical tools and the patient’s organs. If applied, it helps at avoiding or reducing contrast agents usually necessary to established methods to visual intervention guiding tools. The project part 3D multimodal visualisation and documentation of cardiological image data is carried out under the lead of Timo Ropinski, Visual Computing Group.