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

Abstract

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

CLC Number:

R318.01

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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