PROSTHETICS FITTING SYSTEM

从复杂的生物力学角度看，假肢的适合性 残留物和套接字之间的界面上的交互作用。质量 适合度决定了受试者的舒适度、接受度和潜在的 走动。这项研究的长期目标是全面的。 评价假肢适合性与以下因素高度相关 主观指标，对并发症有很高的预测价值 功能结果。假体承窝的原位静态三维测量 寻求一种有效的、可重复的、实用的、全面的方法进行拟合 以帮助假体设计和评估，并改善结果。 基于x射线螺旋CT的体积成像将用于静态原位成像 有无轴向负荷时的下肢假体评价。从… 这些图像体积数据集，组织成分体积分数(脂肪， 肌肉、骨骼、皮肤等)将被提取，质量属性被估计， 以及映射到3D显示器上的形状信息。外形和适合度将是 通过3D可视化。测量方法将在体外进行验证 模型测试对象和身体部位，以及成年截肢者的活体。 组织成分估计将在四肢残留物幻影上进行测试， 在身体的四肢上。人工关节的生物力学特性预测 通过数学建模得到给定的插座和肢体残留物。 使用CT体积数据，我们将合成多项式版本(p版本) 静态的、全三维的有限元模型 分离的组织间隔(骨、肌肉/筋膜、脂肪、皮肤和 假体)、各向异性和具有大变形的非线性。这个 模型将经过实验验证，并用于预测 插座适合。 将使用x-RAT螺旋CT成像和有限元工具进行测量 在Logistic回归模型中用来确定生物力学 与好的和差的假体装配相关的特征。这个 应用X线螺旋CT和有限元技术评价诊断适合性的可行性 元素映射方法将通过ROC和重复性来确定 分析。将测试图像派生的适配度与 主观报告因年龄、性别、种族、 营养状况、糖尿病、吸烟、截肢特征(残肢 长度、截肢原因)以及其他已知的影响适合性的因素。 建成后，该项目将提供有效的和可重复的实用 基于综合体积图像的下肢假肢辅助方法 设计和评估。人工关节的生物力学特性预测 通过p版有限元建模的给定的窝和肢体残留物将 需要开发和测试。

Lower extremity prosthesis fit results from a complex biomechanical interaction at the interface between the residuum and socket. The quality of fit determines subject comfort, acceptance, and potential for ambulation. The long term goal of this research is comprehensive assessment of lower limb prosthesis fit that is highly correlated with subjective metrics and has high predictive value for complications and functional outcome. In situ static 3D determination of prosthesis socket fit by a valid, repeatable, practical, and comprehensive method is sought to aid prosthesis design and evaluation, and to improve outcome. Volumetric imaging based on x-ray spiral CT will be used for static in situ lower limb prosthesis evaluation with and without axial loading. From these image volume data sets, tissue composition volume fractions (fat, muscle, bone, skin, other) will be extracted, mass properties estimated, and shape information mapped onto a 3D display. Shape and fit will be visualized by 3D. The measurement methods will be validated in vitro with phantom test objects and cadaver parts, and in vivo with adult amputees. Tissue composition estimates will be tested on extremity remnants phantoms, and on cadaver limbs. Prediction of the biomechanical characteristics for a given socket and limb remnant will be achieved by mathematical modeling. Using the CT volume data, we will synthesize polynomial version (p-version) finite element models that are static, fully 3--dimensional, incorporate separate tissue compartment (bone, muscle/fascia, fat, skin, and prosthesis), anisotropic, and nonlinear with large deformations. The models will be validated experimentally and used to predict the quality of socket fit. Measurements using x-rat spiral CT imaging and finite element tools will be used in a logistic regression model to determine the biomechanical characteristics associated with good and poor fitting prostheses. The feasibility of diagnostic fit evaluation using x-ray spiral CT and finite element mapping methods will be determined through ROC and repeatability analysis. Image-derived fit measures will be tested for correlation with subjective reports corrected for covariation due to age, gender, race, nutritional status, diabetes, smoking, amputation characteristics (stump length, reason for amputation), and other factors known to influence fit. On completion, this project will provide a valid and repeatable practical comprehensive volumetric image-based method to aid lower limb prosthesis design and evaluation. Prediction of the biomechanical characteristics of a given socket and limb remnant by p-version finite element modeling will be developed and tested.