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High precision segmentations of the knee atriculation
Third-party funded project
Project title High precision segmentations of the knee atriculation
Principal Investigator(s) Vetter, Thomas
Co-Investigator(s) Morel, Andreas
Organisation / Research unit Departement Mathematik und Informatik,
Departement Mathematik und Informatik / Mathematik,
Departement Mathematik und Informatik / Informatik,
Departement Mathematik und Informatik / Computergraphik Bilderkennung (Vetter)
Project start 01.03.2017
Probable end 31.08.2018
Status Completed
Abstract

Subject of this project is to replace the current manual process of high precision segmentation of articular bone surfaces by a new semi automatic approach based on statistical data and 3D editing. The outcome of this process is a mandatory requirement for the innovative implants system currently used and developed at Symbios. With the current approach no substantial growth can be achieved. This can be considered as critical for the future existence of the company.      

Keywords Medical Image Analysis, Statistical Shape Modelling
Financed by Innovation Promotion Agency CTI
   

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23/04/2024