腰椎智能医学图像建模系统的构建及精度检验

doi:10.13418/j.issn.1001-165x.2020.04.015

中国临床解剖学杂志 ›› 2020, Vol. 38 ›› Issue (4): 444-449.doi: 10.13418/j.issn.1001-165x.2020.04.015

腰椎智能医学图像建模系统的构建及精度检验

林泽宇^{1, 2}，　谢雨杉¹，　谢普生¹，　凌钦杰¹，　黄学成¹，　黄文华^{1, 3}

1.南方医科大学基础医学院人体解剖学教研室，广东省医学生物力学重点实验室，广东省医学3D打印应用转化工程技术研究中心，广州 510515； 2.南方医科大学基础医学院生物信息学，广州 510515； 3.广东医科大学，广东湛江 524023

收稿日期:2020-03-06 出版日期:2020-07-25 发布日期:2020-07-29
通讯作者: 黄文华，教授，博士生导师，E-mail：hwh@fimmu.com
作者简介:林泽宇（1992-），男，河北衡水人，在读硕士，主要从事人工智能和生物力学方面研究，E-mail：51316369@qq.com
基金资助:
广东省科技计划项目（2017B090912006）；深圳市医疗卫生“三名工程”高层次医学团队（SZSM201612019）

Construction and accuracy test of lumbar intelligent medical image modeling system

LIN Ze-yu^1,2, XIE Yu-shan¹, XIE Pu-sheng¹, LING Qin-jie¹, HUANG Xue-cheng¹, HUANG Wen-hua^1,3

1. Guangdong Provincial Key Laboratory of Medical Biomechanics, Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Department of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China; 2. Department of Biomechanics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China; 3. Guangdong Medical University Zhenjiang 524023, China

Received:2020-03-06 Online:2020-07-25 Published:2020-07-29

摘要/Abstract

摘要： 目的　构建腰椎智能医学图像建模系统，替代分析人员完成有限元建模过程中对腰椎活动度的繁复计算工作。方法　利用python语言构建一个附和系统，包括录制程序与回放程序。通过Geomagic的偏差分析功能评估智能建模与人工建模二者的偏差分布，并分别构建腰椎的非线性有限元模型，验证模型对有限元分析结果的影响。结果　本课题建立智能腰椎复位系统，成功构建腰椎体的三维模型。与人工建模进行偏差分析，超过98%的区域0偏差。有限元活动度存在些许差异，经配对t检验，差异无统计学意义（P=0.2）。结论　利用智能建模系统构建的三维腰椎模型，精确度较高且对有限元分析结果未产生影响。

关键词: 腰椎, 　智能建模系统, 　有限元, 　偏差分析

Abstract: Objective　To construct a lumber intelligent medical image modeling system and replace the analyst to finish the calculation work of lumbar mobility during finite element modeling.　Methods　Echo system including recording programs and playback programs were built by using the python language. In addition, the Geomagic deviation analysis function was used to evaluate the deviation distribution of intelligent modeling and artificial modeling. The nonlinear finite element model of the lumbar spine was constructed respectively to verify the influence of the model on the finite element analysis results.　Results　The intelligent lumbar reduction system was established and the 3D model of lumbar vertebral body was successfully constructed. Deviation analysis was carried out between the intelligent modeling and artificial modeling. More than 98% of the region achieved zero deviation. There were some differences in the finite element activity at first, but after paired t-test, there was no statistical difference (P=0.2).　Conclusions　The 3D lumbar spine model constructed by the intelligent modeling system has high accuracy and no impact on the analysis results of finite element.

Key words: Lumbar spine, 　Intelligent modeling system, 　Finite element, 　Deviation analysis

中图分类号:

R318.01

林泽宇, 谢雨杉, 谢普生, 凌钦杰, 黄学成, 黄文华. 腰椎智能医学图像建模系统的构建及精度检验[J]. 中国临床解剖学杂志, 2020, 38(4): 444-449.

LIN Ze-yu, XIE Yu-shan, XIE Pu-sheng, LING Qin-jie, HUANG Xue-cheng, HUANG Wen-hua. Construction and accuracy test of lumbar intelligent medical image modeling system[J]. Chinese Journal of Clinical Anatomy, 2020, 38(4): 444-449.

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腰椎智能医学图像建模系统的构建及精度检验

Construction and accuracy test of lumbar intelligent medical image modeling system

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