PROSTHETICS FITTING SYSTEM

下肢假肢适配是由复杂的生物力学 残余物和插座之间界面的相互作用。质量 适合度决定了受试者的舒适度、接受度和 阿姆斯壮本研究的长期目标是全面的 下肢假肢适配性评估与以下因素高度相关： 主观指标，对并发症具有较高的预测价值， 功能性成果。接受腔的原位静态三维测定 寻求一种有效的、可重复的、实用的和全面的方法来拟合 以帮助假体设计和评估，并改善结果。 基于X线螺旋CT的容积成像将用于静态原位 下肢假体评价（有和无轴向载荷）。从 这些图像体积数据集，组织组成体积分数（脂肪， 肌肉、骨骼、皮肤、其他），估计质量特性， 以及映射到3D显示器上的形状信息。形状和适合将是 通过3D可视化。测量方法将在体外进行验证， 体模测试对象和尸体部分，并在体内与成年截肢者。 将在肢体残留体模上测试组织成分估计值， 和尸体的四肢上生物力学特性的预测 将通过数学建模获得给定的承窝和肢体残体。 使用CT体数据，我们将合成多项式版本（p版本） 有限元模型是静态的，完全三维的， 分离的组织隔室（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。的 模型将通过实验进行验证，并用于预测 插座配合。 将使用x-大鼠螺旋CT成像和有限元工具进行测量， 用于逻辑回归模型，以确定生物力学 与良好和不良拟合假体相关的特征。的 应用X线螺旋CT和有限差分法进行诊断匹配性评价的可行性 将通过ROC和重复性确定元素映射方法 分析.将测试图像衍生拟合测量与以下各项的相关性： 校正了因年龄、性别、人种 营养状况，糖尿病，吸烟，截肢特征（残端 长度、截肢原因）以及已知影响适合性的其它因素。 完成后，该项目将提供一个有效的和可重复的实际 基于综合体图像的下肢假肢辅助方法 设计与评价生物力学特性的预测 通过p型有限元建模的给定的接受腔和肢体残体将 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.