Construction and accuracy test of lumbar intelligent medical image modeling system

LIN Ze-yu, XIE Yu-shan, XIE Pu-sheng, LING Qin-jie, HUANG Xue-cheng, HUANG Wen-hua

Chinese Journal of Clinical Anatomy ›› 2020, Vol. 38 ›› Issue (4) : 444-449.

Chinese Journal of Clinical Anatomy ›› 2020, Vol. 38 ›› Issue (4) : 444-449. DOI: 10.13418/j.issn.1001-165x.2020.04.015

Construction and accuracy test of lumbar intelligent medical image modeling system

  • LIN Ze-yu1,2, XIE Yu-shan1, XIE Pu-sheng1, LING Qin-jie1, HUANG Xue-cheng1, HUANG Wen-hua1,3
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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

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

References

[1]  Iatridis JC, Michalek AJ, Purmessur D, et al. Localized intervertebral disc injury leads to organ level changes in structure, cellularity, and biosynthesis[J]. Cell Mol Bioeng, 2009, 2(3): 437-447.
[2]  Noda M, Saequsa Y, Takahashi M, et al. Biomechanical study using the finite element method of internal fixation in pauwels type vertical femoral neck fractures[J]. Arch Trauma Res, 2015, 4(3): e23167.
[3]  Li J, Zhao X, Hu X, et al. A theoretical analysis and finite element simulation of fixator-bone system stiffness on healing progression[J]. J Appl Biomater Funct Mater, 2018, 16(3): 115-125.
[4] Liao SH. Expert system methodologies and applications-a decade review from 1995 to 2004[J]. Expert Syst Appl, 2005, 28(1): 93-103.
[5]  李龙龙, 赵惠燕. 基于案例和模糊推理的农业虫害专家系统研究[J]. 计算机工程与设计, 2007, 28(22): 5570-5572.
[6]  Bendo JA, Ong B, et al. Importance of correlating static and dynamic imaging studies in diagnosing degenerative lumbar spondylolisthesis[J]. Am J Orthop, 2001, 30(3): 247-250.
[7]  Rohlmann A, Burra NK, Zander T, et al. Comparison of the effects of bilateral posterior dynamic and rigid fixation devices on the loads in the lumbar spine: a finite element analysis[J]. Eur Spine J, 2007, 16(8): 1223-1231.
[8] Dabirrahmani D, Becker S, Hogg M, et al. Mechanical variables affecting balloon kyphoplasty outcome-a finite element study[J]. Comput Methods Biomech Biomed Engin, 2012, 15(3): 211-220.
[9]  Schmidt H, Galbusera F, Rohlmann A, et al. Effect of multilevel lumbar disc arthroplasty on spine kinematics and facet joint loads in flexion and extension: a finite element analysis[J]. Eur Spine J. 2012, 21 (Suppl 5): 663-674.
[10] Shirazi-Adl SA, Shrivastava SC, Ahmed AM. Stress analysis of the lumbar disc-body unit in compression. A three-dimensional nonlinear finite element study[J]. Spine, 1984, 9(2): 120-134.
[11] Lu YM, Hutton WC, Gharpuray VM. Do bending, twisting, and diurnal fluid changes in the disc affect the propensity to prolapse? A viscoelastic finite element model[J]. Spine, 1996, 21(22): 2570-2579.
[12] Zhong ZC, Wei SH, Wang JP, et al. Finite element analysis of the lumbar spine with a new cage using a topology optimization method[J]. Med Eng Phys, 2006, 28(1): 90-98.
[13] Rohlmann A, Bauer L, Zander T, et al. Determination of trunk muscle forces for flexion and extension by using a validated finite element model of the lumbar spine and measured in vivo data[J]. J Biomech, 2006, 39(6): 981-989.
[14] Schmidt H, Heuer F, Drumm J, et al. Application of a calibration method provides more realistic results for a finite element model of a lumbar spinal segment[J]. Clin Biomech, 2007, 22(4): 377-384.
[15] Schmidt H, Heuer F, Wilke HJ. Which axial and bending stiffnesses of posterior implants are required to design a flexible lumbar stabilization system[J]? J Biomech, 2009, 42(1): 48-54.
[16] Ayturk UM, Puttlitz CM. Parametric convergence sensitivity and validation of a finite element model of the human lumbar spine[J]. Comput Methods Biomech Biomed Engin, 2011, 14(8): 695-705.
[17] Grosse IR, Milton-Benoit JM, Wileden JC. Ontologies for supporting engineering analysis models[J]. Ai Edam, 2005, 19(1): 1-18.
[18] Wriggers P, Siplivaya M, Joukova I, et al. Intelligent support of the preprocessing stage of engineering analysis using case-based reasoning[J]. Engineering With Computers, 2008, 24(4): 383-404.

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