A system for unsupervised extraction of orthopaedic parameters from CT data
The request for software assistance is increasingly gaining importance in the field of orthopedic surgery. In the near future more people will need implants, which have to last longer. New developments in computer assisted therapy planning promise to significantly reduce the number of revisions and increase the longevity of an implant. For example the computation of the functional outcome of a total knee replacement by prediction of kinematics may provide important guidance during surgery. Speed, accuracy and as little manual interaction as possible are the key factors to make those new developments available to the clinical routine. To reach this goal we present a software assistant for the reconstruction of individual anatomical models (e.g. geometry and landmarks) from medical image data, which is an essential step in this effort. We will present and discuss present and future application scenarios.
Full Text: PDF