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 analyze 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.

Spokesperson
Eisert, Peter Prof. Dr.-Ing. (Details) (Visual Computing)

participating organizational facilities of the HU
Visual Computing (OKZ: 331355)

Financer
Volkswagen-Stiftung (VW)

Duration of Project
Start date: 05/2018
End date: 04/2020

Research Areas
Computer Science, Interactive and Intelligent Systems, Image and Language Processing, Computer Graphics and Visualisation

Research Areas
Informatik

Last updated on 2020-14-10 at 11:29