Computational and experimental assessment of pelvic stability and optimization of technology to guide reconstruction

骨骼的机械稳定性对于生理负荷的传递至关重要。肌肉骨骼结构的损伤会导致稳定性的丧失，包括骨折。该提案扩展了我一直在进行的脊柱和薄骨结构的计算机建模研究，并将其扩展到了解骨折后的损伤和稳定性，特别关注骨盆。人类骨盆是一个复杂的结构，包括薄骨区域、不同的材料特性分布和多个关节。骨盆将上半身的负荷传递给下肢，其完整性对运动至关重要。本研究将利用图像分析、计算建模和实验测试来评估骨盆的稳定性，以生成有效的模型，这些模型可以代表骨骼损伤开始并发展为骨折时的失效行为。为了更好地了解骨密度、骨盆形状、骨折位置、损伤程度、年龄和性别等特征如何相互作用影响骨盆稳定性，我们将使用大型数据集和强大的计算机视觉（机器学习）技术。完整骨盆的数据（可从开放获取档案和Sunnybrook的医学成像中获得）将与Sunnybrook的Marvin Tile髋臼和骨盆骨折登记处一起使用，其中包括来自1695个人的详细数据和骨折后成像。最后，我们将把我们的机械研究扩展到工具的设计，以促进骨盆骨折的稳定。该计划将产生一个强大的、经过实验验证的设计平台，提供骨盆力学行为的准确表示和工具，以解决重建中的特定障碍。结合计算机方法、实验测试和真实世界数据的生物力学分析，有可能极大地促进我们对骨骼稳定性的理解。它为HQP提供了一个特殊的机会来提高他们的技能，由高素质的多学科团队（工程、物理、计算机科学、医学和设计）提供指导。将计算力学建模与先进的深度学习和大型数据集相结合，可能会对复杂骨骼结构的机械稳定性产生改进和新颖的见解。这项工作对生物力学社区至关重要，并最终形成转化管道的基础，将这些工程进展扩展到商业和临床应用。将机械稳定性评估转化为最终指导骨盆重建的关键是一个平台，该平台不仅承认和解决损伤差异，而且涉及性别和年龄，以确保其与所有加拿大人相关。

The mechanical stability of the skeleton is critical to allow the transmission of physiologic loads. Damage to musculoskeletal structures can lead to the loss of stability including fracture. This proposal extends the research I have been undertaking on computer modeling of the spine and thin bone structures and extends it to understand damage and stability post fracture, with a specific focus on the pelvis. The human pelvis is a complex structure which includes areas of thin bone, varying material property distributions and multiple articulations. The pelvis transmits the loads of the upper body to the lower extremities and its integrity is essential for locomotion. This research will evaluate stability of the pelvis utilizing image analysis, computational modeling and experimental testing to generate validated models that can represent failure behaviour as damage is initiated in the bone and progresses to fracture. To better understand how features, such as bone density, pelvic shape, fracture location, damage extent, age and sex interact to affect pelvic stability, we will use large datasets and powerful computer vision (machine learning) techniques. Data from intact pelvises (available from open access archives and through medical imaging at Sunnybrook) will be used along with the Marvin Tile Acetabular & Pelvic Fractures Registry at Sunnybrook, which includes detailed data and post fracture imaging from 1695 individuals. Finally, we will extend the breadth of our mechanical research to the design of tools to facilitate stabilization of pelvic fractures. This program will yield a robust and experimentally validated design platform that provides accurate representations of the mechanical behaviour of the pelvis and tools to address specific barriers in reconstruction. Biomechanical analysis, combining computer methods, experimental testing and real-world data, has the potential to greatly advance our understanding of skeletal stability. It provides an exceptional opportunity for HQP to advance their skills, with mentorship from a multidisciplinary team of highly qualified staff (in engineering, physics, computer science, medicine and design). Combining computational mechanical modeling with advances in deep learning and large data sets may allow for improved and novel insights into the mechanical stability of complex bony structures. This work is fundamentally important to the biomechanics community and can ultimately form the basis for a translational pipeline to extend these engineering advances to commercial and clinical application. Key to this work in translating mechanical stability assessments to ultimate guide pelvic reconstruction is a platform that not only acknowledges and addresses differences in injury, but the implications of sex and age, to ensure its relevance for all Canadians.