PROBABILISTIC SHAPE-BASED FINITE ELEMENT MODELING OF BABOON FEMURS

基于概率形状的狒狒股骨有限元建模

• 批准号: 7349857
• 负责人: LORENA M HAVILL
• 金额: $ 1.16万
• 依托单位: TEXAS BIOMEDICAL RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7349857
• 关键词: PROBABILISTIC; SHAPE; BASED; FINITE; ELEMENT

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Osteoporosis, characterized by bone fragility and increased susceptibility to fracture, is an age-related health problem of immediate public health concern. The well being of 43.6 million people in the U.S. alone is currently threatened by osteoporosis or low bone mass. Individual suffering and public health costs resulting from the projected increase in osteoporotic fracture incidence as the U.S. population ages are motivating intensive research into the factors contributing to this painful and debilitating condition. Of particular concern is development of new techniques for predicting risk of bone fracture. Osteoporosis is a complex disease resulting from a number of genetic and environmental factors affecting bone mass and architecture, and, in turn, bone¿s resistance to fracture. Studies show that a great deal of osteoporosis fracture risk is independent of bone mass. This has prompted researchers to expand their investigations of osteoporosis fracture risk to other measures of bone quality, including evaluations of bone shape and the contribution of shape differences to the probability of fracture. Probabilistic shape-based finite element modeling of baboons femurs The specific aims of this study are to investigate the effectiveness and feasibility of developing probabilistic shape-based finite element models that may be useful for predicting fracture risk for individuals. Such models will be evaluated based on the amount of variation captured by the model. Effective modeling should reduce the number of random variables, thereby reducing the computational burden when performing probabilistic analysis.

本子项目是利用由NIH/NCRR资助的中心赠款提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是中心的，不一定是研究者的机构。骨质疏松症是一种与年龄有关的健康问题，其特点是骨骼脆弱，易骨折。目前仅在美国就有4360万人的健康受到骨质疏松症或低骨量的威胁。随着美国人口的老龄化，骨质疏松性骨折的发病率预计会增加，由此带来的个人痛苦和公共卫生成本促使人们深入研究导致这种痛苦和衰弱状况的因素。特别值得关注的是预测骨折风险的新技术的发展。骨质疏松症是一种复杂的疾病，由许多影响骨量和结构的遗传和环境因素引起，反过来，骨骼对骨折的抵抗力也受到影响。研究表明，骨质疏松症的骨折风险在很大程度上与骨量无关。这促使研究人员将骨质疏松症骨折风险的研究扩展到其他骨质量的测量，包括骨形状的评估和形状差异对骨折概率的贡献。本研究的具体目的是研究开发基于概率形状的有限元模型的有效性和可行性，该模型可能有助于预测个体的骨折风险。这些模型将根据模型捕获的变化量进行评估。有效的建模应该减少随机变量的数量，从而减少执行概率分析时的计算负担。