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A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies

机译:节省时间:前臂截骨术全自动3D规划的优化方法

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Three-dimensional (3D) computer-assisted preoperative planning has become the state-of-the-art for surgical treatment of complex forearm bone malunions. Despite benefits of these approaches, surgeon time and effort to generate a 3D-preoperative planning remains too high, and limits their clinical application. This motivates the development of computer algorithms able to expedite the process. We propose a staged multi-objective optimization method based on a genetic algorithm with tailored fitness functions, capable to generate a 3D-preoperative plan in a fully automatic fashion. A clinical validation was performed upon 14 cases of distal radius osteotomy. Solutions generated by our algorithm (OA) were compared to those created by surgeons using dedicated planning software (Gold Standard; GS), demonstrating that in 53% of the tested cases, OA solutions were better than or equal to GS solutions, successfully reducing surgeon's interaction time. Additionally, a quantitative evaluation based on 4 different error measurement confirmed the validity of our method.
机译:三维(3D)计算机辅助术前计划已成为外科治疗复杂前臂骨畸形畸形的最新技术。尽管这些方法具有优势,但外科医生花费大量时间和精力来进行3D术前计划的制定仍然过高,并限制了其临床应用。这激励了能够加速该过程的计算机算法的发展。我们提出了一种基于遗传算法的分阶段多目标优化方法,该遗传算法具有定制的适应度函数,能够以全自动方式生成3D术前计划。对14例radius骨远端截骨术进行了临床验证。我们的算法(OA)生成的解决方案与外科医生使用专用计划软件(Gold Standard; GS)生成的解决方案进行了比较,表明在53%的测试案例中,OA解决方案优于或等于GS解决方案,从而成功减少了外科医生的互动时间。此外,基于4种不同误差测量的定量评估证实了我们方法的有效性。

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