摘要
儿童的人体体征参数的变化,对胸腔骨骼几何有很大影响,这直接影响儿童胸部损伤形式.现有的儿童胸腔骨骼几何模型数量有限,且都是基于特定人体体征参数开发的.针对61个儿童胸腔CT样本,应用CT三维重建、半自动选点、胸腔姿势调整、统计学分析以及径向基函数(Radial Basis Function,RBF)神经网络变形等处理,建立了基于年龄、身高、体质指数(Body Mass Index,BMI)、性别的中国3~12岁儿童胸腔骨骼参数化几何模型.运用该参数化模型快速得到3~12岁内,年龄、身高、体质指数、性别任意组合的儿童胸腔骨骼几何模型.运用该参数化几何模型,预测的3~12岁儿童胸腔骨骼几何模型的平均几何精度为5.2 mm,第1对到第12对肋骨的平均几何精度最大为7.0 mm,最小为4.5 mm.该参数化几何模型可以用于研究人体体征参数对胸腔骨骼几何的影响以及对儿童胸部损伤的影响.
Changes in human body parameters influence on the geometry of the ribcage in children,directly affecting the form of chest injury.A limited number of existing children's ribcage geometric models were developed using the parameters of specific body characteristics.CT 3D reconstruction,semi-automatic point selection,ribcage posture adjustment,statistical analysis,and Radial Basis Function(RBF)neural network deformation were applied to 61 CTs,and then a parametric geometric model for children's ribcage aged 3~12 years in China based on the age,height,Body Mass Index(BMI),and gender was developed.Using the proposed parametric geometric model,the children's ribcage geometry models depending on the age(3~12 years old),height,BMI,and gender can be quickly obtained.The average geometric accuracy of the predicted ribcage geometry model for children aged 3~12 years was 5.2 mm,and the average geometric accuracy of the first to the twelfth pairs of ribs was at most 7.0 mm,and at least 4.5 mm.The parametric geometry model can be used to study the effect of human body parameters on the geometry of children's ribcage and its impact on children's chest injury.
作者
曹立波
喻志强
李俊义
陶武康
吴俊
CAO Libo;YU Zhiqiang;LI Junyi;TAO Wukang;WU Jun(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha 410082,China;College of Engineering and Design,Hunan Normal University,Changsha 410081,China)
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2019年第10期1-9,共9页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(51505137)
湖南大学汽车车身先进设计制造国家重点实验室开放基金(31615007)~~
关键词
儿童胸腔骨骼
参数化
几何模型
人体体征参数
children’s ribcage
parameterization
geometric model
human body parameters