Development of a model to predict 3D femur morphology in infants and young children

The purpose of this study was to develop a predictive model to generate representative 3D paediatric femur models for age 0–3 years based on child characteristics. Computed tomography (CT) images of 79 decedent (age 0–3 years) femurs were used to develop a statistical shape model characterising femur shape. A regression model predicted shape parameters from child characteristics (age, height, and weight). The predictive model demonstrated good fit (R² = 0.976) in predicting femur shape (surface coordinates) in the test set (n = 17) and thus, can be used to generate representative 3D paediatric femur models in the absence of CT imaging.

本研究旨在基于儿童个体特征，构建用于生成0~3岁年龄段具有代表性的三维儿童股骨模型的预测模型。研究使用79例0至3岁逝者的股骨计算机断层扫描（Computed Tomography，CT）图像，构建了表征股骨形态的统计形状模型。随后基于儿童个体特征（年龄、身高与体重），通过回归模型预测形状参数。该预测模型在测试集（n=17）中对股骨形态（表面坐标）的预测拟合效果优异（决定系数R²=0.976），因此可在缺乏计算机断层扫描成像的条件下，生成具有代表性的三维儿童股骨模型。

搜集汇总

背景与挑战

背景概述

该数据集专注于开发一个预测模型，用于生成0-3岁婴幼儿的3D股骨形态，基于儿童特征（年龄、身高和体重）。研究利用79个已故儿童的股骨CT图像构建统计形状模型，并通过回归分析实现高精度预测（R²=0.976），从而在没有CT扫描的情况下生成代表性3D股骨模型，适用于医学和生物科学领域。