作者: Fabio Carrillo , Lazaros Vlachopoulos , Andreas Schweizer , Ladislav Nagy , Jess Snedeker
DOI: 10.1007/978-3-319-66185-8_55
关键词:
摘要: Three-dimensional (3D) computer-assisted preoperative planning has become the state-of-the-art for surgical treatment of complex forearm bone malunions. Despite benefits these approaches, surgeon time and effort to generate a 3D-preoperative remains too high, limits their clinical application. This motivates development computer algorithms able expedite process. We propose staged multi-objective optimization method based on genetic algorithm with tailored fitness functions, capable plan in fully automatic fashion. A validation was performed upon 14 cases distal radius osteotomy. Solutions generated by our (OA) were compared those created surgeons using dedicated software (Gold Standard; GS), demonstrating that 53% tested cases, OA solutions better than or equal GS solutions, successfully reducing surgeon’s interaction time. Additionally, quantitative evaluation 4 different error measurement confirmed validity method.