Automatic multi-spectral tissue analysis during surgery
During surgery, it is hard to differentiate the various tissue types and the clinician has to trust on his own experience and knowledge. We plan to develop a new automatic tissue differentiation tool based on multispectral imaging to analyse non-visible tissue properties during surgery in order to present the clinician additional information about the tissue augmented into the view of a microscope/endoscope. This will reduce the risk of patient damage and thereby speed up surgeries.
Financer
Volkswagen-Stiftung
Duration of project
Start date: 05/2018
End date: 04/2020
Research Areas
Computer Science, Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Research Areas
Informatik