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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
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Co-Investigator(s) |
Morel, Andreas
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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.
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Keywords |
Medical Image Analysis, Statistical Shape Modelling |
Financed by |
Innovation Promotion Agency CTI
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25/04/2024
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