Dries Billy, Jonkers Ilse, Dingemanse Walter, Vanwanseele Benedicte, Vander Sloten Jos, van Bree Henri, Gielen Ingrid
Billy Dries, Department of Medical Imaging of Domestic Animals and Orthopedics of Small Animals, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium, Phone: +32 926 47761, E-mail:
Vet Comp Orthop Traumatol. 2016 May 18;29(3):181-7. doi: 10.3415/VCOT-15-08-0133. Epub 2016 Apr 22.
Musculoskeletal models have proven to be a valuable tool in human orthopaedics research. Recently, veterinary research started taking an interest in the computer modelling approach to understand the forces acting upon the canine musculoskeletal system. While many of the methods employed in human musculoskeletal models can applied to canine musculoskeletal models, not all techniques are applicable. This review summarizes the important parameters necessary for modelling, as well as the techniques employed in human musculoskeletal models and the limitations in transferring techniques to canine modelling research. The major challenges in future canine modelling research are likely to centre around devising alternative techniques for obtaining maximal voluntary contractions, as well as finding scaling factors to adapt a generalized canine musculoskeletal model to represent specific breeds and subjects.
肌肉骨骼模型已被证明是人类骨科研究中的一种有价值的工具。最近,兽医研究开始对计算机建模方法产生兴趣,以了解作用于犬类肌肉骨骼系统的力。虽然人类肌肉骨骼模型中使用的许多方法可以应用于犬类肌肉骨骼模型,但并非所有技术都适用。本文综述了建模所需的重要参数,以及人类肌肉骨骼模型中使用的技术和将技术转移到犬类建模研究中的局限性。未来犬类建模研究的主要挑战可能集中在设计获取最大自主收缩的替代技术,以及寻找缩放因子以调整通用犬类肌肉骨骼模型以代表特定品种和个体。