Ilenia Moneta
Development of an applicative model to filter outliers from intra-operative acquired data in Total Knee Replacement using Computer Assisted Surgery.
Rel. Cristina Bignardi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2020
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Abstract
In orthopaedic surgery, with a special focus on Total Knee Arthroplasty (TKA), planning the intervention is of fundamental importance. The rate of success of the surgery is strictly connected to the right alignment of the prosthesis. In order to improve overall alignment and to minimize situations of gross positioning, systems for computer-assisted total knee arthroplasty have been introduced. These systems use computer technology for surgical planning, for guiding or performing surgical interventions. The surgeons use computer-assisted systems to acquire the surface of the bone, then the software reconstructs the patient-specific morphology and plans the most appropriate cut, depending on the characteristic of the intervention and on the surgeon’s specifications.
The efficacy of this technology relies much on the correct use of the system by the surgeon, who must understand the basic principles behind the software and try not to commit errors during the registration phase
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