The aim of this research project is to develop a comprehensive computer-based framework for reconstruction of complex proximal humeral fractures. The project will be carried out in collaboration of the CARD team with the ETH Zurich in the course of the PhD thesis of Dr. Vlachopoulos at the Computer Vision Laboratory at the ETH under supervision of Prof. Szekely.
Treatment of comminuted fractures of the proximal humerus is demanding and the oprimal solution remains controversial. In elderly patients and if anatomical reduction of the humeral head cannot be obtained, joint replacemnt is considered as a viable and good solution. However, due to complex anatomy and intraindividual variabilty the surgical procedure is quite challenging.
Semi-automatic fracture reconstruction algorithms have to be developed and the transfer to the surgery has to be tackled. Further with the obtained knowledge correction of posttraumatic deformities (mal-union after proximal humeral fractures) of the humerus shall be facilitated.
For this purpose the following steps have to be tackled/developed: 1. Computer algorithms for the analysis of the humeral anatomy in 3D and quantification of bilateral differences, since the contralateral anatomy is often considered as a reconstruction template 2. Application for preoperative planning of anatomical shoulder replacement and compensation of the bilateral differences 3. Fracture-assembling algorithms for virtual reconstruction of proximal humeral fractures 4. Design of patient specific guides for intraoperative realization
The Balgrist Foundation support this Project with an Amount of
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