School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada; Roth McFarlane Hand and Upper Limb Centre, St. Josephs Health Care, London, ON, Canada; Collaborative Training Program in MSK Health Research, and Bone and Joint Institute, The University of Western Ontario, London, ON, Canada.
Department of Mechanical and Materials Engineering, The University of Western Ontario, London, ON, Canada; Roth McFarlane Hand and Upper Limb Centre, St. Josephs Health Care, London, ON, Canada; Collaborative Training Program in MSK Health Research, and Bone and Joint Institute, The University of Western Ontario, London, ON, Canada.
J Mech Behav Biomed Mater. 2019 Feb;90:140-145. doi: 10.1016/j.jmbbm.2018.10.013. Epub 2018 Oct 12.
Incorporating subject-specific mechanical properties derived from clinical-resolution computed tomography data increases the accuracy of finite element models. Site-specific relationships between density and modulus are required due to variations in trabecular architecture and tissue density by anatomic location. Equations have been developed for many anatomic locations and have been shown to have excellent statistical agreement with empirical results; however, a shoulder-specific density-modulus relationship does not currently exist. This study used micro-finite element cores of glenoid trabecular bone and co-registered quantitative computed tomography finite element models to develop a validated glenoid trabecular density-modulus relationship. Micro finite element model tissue density was considered as either homogeneous or heterogeneous, scaled by CT-intensity. When heterogeneous tissue density was considered, near absolute statistical agreement was predicted in the co-registered QCT-derived finite element models. The validated relationships have also been adapted for use in whole bone scapular models and have the potential to dramatically increase the accuracy of clinical-resolution CT-derived shoulder finite element studies.
将源自临床分辨率计算机断层扫描数据的特定于主体的机械性能纳入有限元模型中可以提高其准确性。由于解剖位置的骨小梁结构和组织密度的变化，需要特定于部位的密度与模量关系。已经为许多解剖位置开发了方程式，并且已经证明与经验结果具有极好的统计学一致性；然而，目前还没有特定于肩部的密度-模量关系。本研究使用关节盂骨小梁的微有限元核心和共配准定量计算机断层扫描有限元模型来开发经过验证的关节盂骨小梁密度-模量关系。微有限元模型组织密度被视为均匀或非均匀，由 CT 强度缩放。当考虑非均匀组织密度时，在共配准的 QCT 衍生有限元模型中预测到了近乎绝对的统计学一致性。已验证的关系也已适应于整个肩胛骨模型的使用，并且有可能极大地提高临床分辨率 CT 衍生的肩部有限元研究的准确性。
