摘要
脊柱侧弯是一种高发于青少年群体中的脊柱疾病,为了解决X片评估脊柱侧弯所带来的辐射危害,本文设计并实现了基于形态识别的脊柱个性化建模和侧弯评估系统。首先,提取与脊柱相关的特征点,根据特征点之间的相对位置关系计算生成附加特征点;其次,设计并应用特征点校正算法和滤波算法以提高特征点的位置精度;最后,在Unity中将椎骨模型配准到由特征点拟合的脊柱线上,得到个性化三维脊柱模型,并计算Cobb角、胸椎后凸角、腰椎前凸角以评估脊柱侧弯。本文对28位受试者进行了实验,对比分析了系统评估结果与X片评估结果:Cobb角与实际Cobb角之间的皮尔逊相关系数为0.82,平均绝对误差为3.4°,均方根误差为4.2°;胸椎后凸角与实际胸椎后凸角之间的皮尔逊相关系数为0.80,平均绝对误差为3.4°,均方根误差为3.8°;腰椎前凸角与实际腰椎前凸角之间的皮尔逊相关系数为0.78,平均绝对误差为3.2°,均方根误差为3.7°。实验结果表明,脊柱侧弯评估系统的精度较高,使用方便,可适用于大范围的青少年脊柱侧弯筛查。
Scoliosis is a spinal disorder that is highly prevalent in the adolescent population.To address the radiation hazards associated with X-ray assessment of scoliosis,this article designs and implements a personalized modeling and scoliosis assessment system for the spine based on morphological recognition.First,the feature points related to the spine are extracted,and the additional feature points are generated according to the relative positional relationship between the feature points.Secondly,the feature point correction algorithm and the filtering algorithm are designed and applied to improve the positional accuracy of the feature points.Finally,the vertebral bone model is aligned to the spine line fitted by the feature points in Unity to obtain a personalized 3D spine model,and the Cobb angle,the thoracic kyphosis angle,and the lumbar lordosis to assess scoliosis.An experiment is implemented on 28 subjects to compare and analyze the results of the systematic assessment with those of the X-ray assessment.The Pearson correlation coefficient between the Cobb angle and the actual Cobb angle is 0.82,with a mean absolute error of 3.4°and a root-mean-square error of 4.2°.The Pearson correlation coefficient between the thoracic kyphosis angle and the actual thoracic kyphosis angle is 0.80,with a mean absolute error of 3.4°and a root-mean-square error of 3.8°.The Pearson correlation coefficient between the lumbar lordosis and the actual lumbar lordosis is 0.78,the mean absolute error is 3.2°,and the root mean square error is 3.7°.The experimental results show that the scoliosis assessment system is highly accurate,which is easy to use.It can be applied to scoliosis screening in a large adolescent population.
作者
陈家瑾
李玉榕
叶王为
苏婵娟
Chen Jiajin;Li Yurong;Ye Wangwei;Su Chanjuan(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China;Fujian Key Laboratory of Medical Instrument and Pharmaceutical Technology,Fuzhou 350108,China;Fuzhou No.2 Hospital,Fuzhou 350007,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2023年第10期210-218,共9页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(62373108)
国家重点研发计划(2020YFC2006702)项目资助。
关键词
脊柱侧弯评估
形态识别
三维建模
校正算法
卡尔曼滤波
scoliosis evaluation s
morphological recognition
3D modeling
correction algorithm
Kalman filter
作者简介
陈家瑾,2021年于福州大学获得学士学位,现为福州大学硕士研究生,主要研究方向为基于形态识别的脊柱侧弯评估技术。E-mail:1185411981@qq.com;通信作者:李玉榕,1994年于福州大学获得学士学位,1997年于浙江大学获得硕士学位,2001年于浙江大学获得博士学位,现为福州大学教授,并且从2007年起为福建省医疗器械和医药技术重点实验室成研究与应用。员,主要研究方向为智能评估与康复技术的E-mail:liyurong@fzu.edu.cn。
