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.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 髋关节发育不良的统计学和生物力学分析 背景资料： 髋臼发育不良可能是髋关节过早骨关节炎（OA）的主要原因。 然而，与发育不良相关的几何学改变与 对接头内和接头周围产生的应力知之甚少。认识到 不同的，往往是微妙形式的发育不良的机械后果允许早期 识别“有风险”的髋关节，从而可以开始早期治疗。这 研究通过量化来描绘这种三维病理学的真实谱， 髋关节应力传递及预测髋关节矫正术远期成功率 手术 基本原理： 大部分骨科都是由力学控制的，而大部分力学都是由 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有几个重要的含义，包括能力 使用组平均值驱动患者组的生物力学模拟， 几何结构，能够对几何结构和生物力学进行组比较 参数，系统地捕捉群体的可变性，最后， 研究生物力学结果对几何变异性的敏感性。 问题： 该项目提出了一些重要的挑战，算法和软件开发 在CIBC中：（1）实现足够的鲁棒性水平，以与商业竞争 （2）验证生物力学应用中的元素质量;（3） 以一般方式扩展工具以处理开放几何;（4）解决一些问题， 构建具有严格公差（骨骼）的关节模型（多个表面）的问题 由软骨分开）;和（5）实现骨骼的适当解剖学对准。 设计方法（& M）： 该DBP依赖于两种协作方法：（1）患者特定有限元（FE） 模型：为了实现这一目标，我们将与生物工程和骨科小组在 犹他州大学部署Seg 3D和BioMesh软件并促进其使用;以及（2） 髋关节的统计形状模型：为了这个目的，我们将应用和扩展 软件工具。战略将是审查 目前的技术，并扩大它，必要时，以能够解决的需要， DBP。