A statistical inference model of bone anatomy for the corrective osteotomy planning of malunited forearm bone
Third-party funded project
Project title A statistical inference model of bone anatomy for the corrective osteotomy planning of malunited forearm bone
Principal Investigator(s) Vetter, Thomas
Co-Investigator(s) Bouabene, Ghazi
Organisation / Research unit Faculty of Science,
Departement Mathematik und Informatik,
Departement Mathematik und Informatik / Informatik,
Departement Mathematik und Informatik / Computergraphik Bilderkennung (Vetter)
Project start 01.06.2016
Probable end 31.05.2019
Status Completed
Abstract

This project aims at developing a software for the surgical planning of forearm osteotomies.
Contrary to the state-of-the-art, the contralateral healthy bone is not needed as a reconstruction
template anymore, because an inference engine predicts the normal (pre-traumatic) bone
anatomy. Our approach permits the reduction of the radiation dose by 50%, the 3D planning of
bilateral deformities, and the integration into an existing commercial planning service for hospitals.

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

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