STATISTICAL AND BIOMECHANICAL ANALYSIS OF HIP DYSPLESIA

髋关节发育不良的统计和生物力学分析

• 批准号: 8363716
• 负责人: ROSS T WHITAKER
• 金额: $ 8.88万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8363716
• 关键词: Address; Algorithms; Biomechanics; Biomedical Computing; Biomedical Engineering; Cartilage; Computer software; Dysplasia; Early identification; Early treatment; Elements; Funding; Grant; Hip Joint; Hip Osteoarthritis; Hip region structure; Indium; Joints; Mechanics; Methods; Modeling; National Center for Research Resources; Operative Surgical Procedures; Orthopedics; Outcome; Pathology; Patient Simulation; Patients; Principal Investigator; Research; Research Infrastructure; Resources; Risk; Shapes; Software Tools; Source; Statistical Study; Stress; Surface; Technology; United States National Institutes of Health; Universities; Utah; Work; bone; comparison group; cost; design; open source; premature; shape analysis; software development; success; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. STATISTICAL AND BIOMECHANICAL ANALYSIS OF HIP DYSPLASIA Background: Acetabular dysplasia may be the leading cause of premature osteoarthritis (OA) of the hip. However, the relationship between the altered geometry associated with dysplasia and the resulting stresses in and around the joint is poorly understood. Recognizing the mechanical consequences of different and often subtle forms of dysplasia allows earlier identification of "at risk" hips, in turn allowing the initiation of earlier treatment. This research delineates the true spectrum of this three-dimensional pathology by quantifying stress transfer in the hip joint and predicting the long-term success rate of corrective surgeries. Rationale: Much of orthopaedics is governed by mechanics and much of mechanics is dictated by shape. Thus, we believe that the potential impact of robust, open-source software tools for meshing and statistical shape analysis is profound. The ability to study statistical shape models in a biomechanical context has several important implications, including the ability to drive the biomechanical simulations of patient groups using group-averaged geometries, the ability to make group comparisons of both geometry and biomechanical parameters in a way that systematically captures group variability, and finally, the ability to study sensitivities in biomechanical outcomes with respect to geometric variability. Questions: This project presents some important challenges for algorithm and software development in the CIBC: (1) Achieving a sufficient level of robustness to compete with the commercial pipeline; (2) Validating the quality of the elements in the biomechanics applications; (3) Extending the tools in a general way to deal with open geometries; (4) Addressing some of the issues of building joint models (multiple surfaces) with tight tolerances (bones separated by cartilage); and (5) Achieving a proper anatomical alignment of the bones. Design & Methods: This DBP relies on two collaborative methods: (1) Patient-specific finite element (FE) models: For this aim, we will work with the Bioengineering and Orthopedics group at the University of Utah to deploy Seg3D and BioMesh software and facilitate its use; and (2) Statistical shape models of the hip joint: For this aim, we will apply and extend the software tools available in ShapeWorks. The strategy will be to examine the efficacy of the current technology and extend it, as necessary, to be able to address the needs of the DBP.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 髋关节发育不良的统计和生物力学分析 背景： 髋臼发育不良可能是髋关节过早骨关节炎（OA）的主要原因。 但是，与发育不良相关的改变几何形状与 关节内及其周围的压力知之甚少。认识到 不同形式的发育不良形式的机械后果允许更早 识别“危险”臀部，反过来允许开始治疗。这 研究通过量化来描述这种三维病理的真实范围 髋关节的压力转移并预测纠正措施的长期成功率 手术。 理由： 大部分骨科受到力学的管辖，大部分力学由 形状。因此，我们认为强大的开源软件工具对 网格和统计形状分析是深刻的。研究统计形状的能力 生物力学环境中的模型具有多种重要含义，包括能力 使用组平均的患者群体的生物力学模拟 几何，能够对几何和生物力学进行小组比较的能力 参数以系统捕获组变异性的方式，最后是能力 研究有关几何变异性的生物力学结果的敏感性。 问题： 该项目针对算法和软件开发提出了一些重要的挑战 在CIBC中：（1）达到足够的鲁棒性来与商业竞争 管道; （2）验证生物力学应用中元素的质量； （3） 以一般方式扩展工具来处理开放的几何形状； （4）解决一些问题 构建关节模型（多个表面）的问题（骨头） 通过软骨隔开）； （5）实现骨骼的适当解剖对齐。 设计与方法： 该DBP依赖两种协作方法：（1）特定于患者的有限元（Fe） 模型：为此，我们将与生物工程和骨科组合作 犹他大学以部署SEG3D和BioMesh软件，并促进其使用； （2） 髋关节的统计形状模型：为此，我们将应用并扩展 ShapeWorks提供的软件工具。策略将是检查 当前的技术并根据需要扩展它，以便能够满足 DBP。