Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study

Abstract Backgrounds Finite element analysis (FEA) is an important tool during the spinal biomechanical study. Irregular surfaces in FEA models directly reconstructed based on imaging data may increase the computational burden and decrease the computational credibility. Definitions of the relative n...

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Main Authors: Jingchi Li, Chen Xu, Xiaoyu Zhang, Zhipeng Xi, Shenglu Sun, Ke Zhang, Xiaoyang Fang, Lin Xie, Yang Liu, Yueming Song
Format: Article
Language:English
Published: BMC 2021-08-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Online Access:https://doi.org/10.1186/s13018-021-02655-4
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author Jingchi Li
Chen Xu
Xiaoyu Zhang
Zhipeng Xi
Shenglu Sun
Ke Zhang
Xiaoyang Fang
Lin Xie
Yang Liu
Yueming Song
author_facet Jingchi Li
Chen Xu
Xiaoyu Zhang
Zhipeng Xi
Shenglu Sun
Ke Zhang
Xiaoyang Fang
Lin Xie
Yang Liu
Yueming Song
author_sort Jingchi Li
collection DOAJ
description Abstract Backgrounds Finite element analysis (FEA) is an important tool during the spinal biomechanical study. Irregular surfaces in FEA models directly reconstructed based on imaging data may increase the computational burden and decrease the computational credibility. Definitions of the relative nucleus position and its cross-sectional area ratio do not conform to a uniform standard in FEA. Methods To increase the accuracy and efficiency of FEA, nucleus position and cross-sectional area ratio were measured from imaging data. A FEA model with smoothened surfaces was constructed using measured values. Nucleus position was calibrated by estimating the differences in the range of motion (RoM) between the FEA model and that of an in-vitro study. Then, the differences were re-estimated by comparing the RoM, the intradiscal pressure, the facet contact force, and the disc compression to validate the measured and calibrated indicators. The computational time in different models was also recorded to evaluate the efficiency. Results Computational results indicated that 99% of accuracy was attained when measured and calibrated indicators were set in the FEA model, with a model validation of greater than 90% attained under almost all of the loading conditions. Computational time decreased by around 70% in the fitted model with smoothened surfaces compared with that of the reconstructed model. Conclusions The computational accuracy and efficiency of in-silico study can be improved in the lumbar FEA model constructed using smoothened surfaces with measured and calibrated relative nucleus position and its cross-sectional area ratio.
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spelling doaj.art-0a7c7407a01641e3a1e0907bcab5a3a52022-12-22T04:27:51ZengBMCJournal of Orthopaedic Surgery and Research1749-799X2021-08-0116111210.1186/s13018-021-02655-4Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico studyJingchi Li0Chen Xu1Xiaoyu Zhang2Zhipeng Xi3Shenglu Sun4Ke Zhang5Xiaoyang Fang6Lin Xie7Yang Liu8Yueming Song9Department of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital/West China School of Medicine for Sichuan UniversityDepartment of Spine Surgery, Changzheng Hospital Affiliated to the Naval Medical UniversityDepartment of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese MedicineDepartment of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese MedicineDepartment of Imaging, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese MedicineDepartment of Spine Surgery, Changzheng Hospital Affiliated to the Naval Medical UniversityDepartment of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese MedicineDepartment of Spine Surgery, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine for Nanjing University of Chinese MedicineDepartment of Spine Surgery, Changzheng Hospital Affiliated to the Naval Medical UniversityDepartment of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital/West China School of Medicine for Sichuan UniversityAbstract Backgrounds Finite element analysis (FEA) is an important tool during the spinal biomechanical study. Irregular surfaces in FEA models directly reconstructed based on imaging data may increase the computational burden and decrease the computational credibility. Definitions of the relative nucleus position and its cross-sectional area ratio do not conform to a uniform standard in FEA. Methods To increase the accuracy and efficiency of FEA, nucleus position and cross-sectional area ratio were measured from imaging data. A FEA model with smoothened surfaces was constructed using measured values. Nucleus position was calibrated by estimating the differences in the range of motion (RoM) between the FEA model and that of an in-vitro study. Then, the differences were re-estimated by comparing the RoM, the intradiscal pressure, the facet contact force, and the disc compression to validate the measured and calibrated indicators. The computational time in different models was also recorded to evaluate the efficiency. Results Computational results indicated that 99% of accuracy was attained when measured and calibrated indicators were set in the FEA model, with a model validation of greater than 90% attained under almost all of the loading conditions. Computational time decreased by around 70% in the fitted model with smoothened surfaces compared with that of the reconstructed model. Conclusions The computational accuracy and efficiency of in-silico study can be improved in the lumbar FEA model constructed using smoothened surfaces with measured and calibrated relative nucleus position and its cross-sectional area ratio.https://doi.org/10.1186/s13018-021-02655-4Model calibrationFinite element analysisCross-sectional area ratioRelative nucleus positionSmoothened surfaces
spellingShingle Jingchi Li
Chen Xu
Xiaoyu Zhang
Zhipeng Xi
Shenglu Sun
Ke Zhang
Xiaoyang Fang
Lin Xie
Yang Liu
Yueming Song
Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study
Journal of Orthopaedic Surgery and Research
Model calibration
Finite element analysis
Cross-sectional area ratio
Relative nucleus position
Smoothened surfaces
title Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study
title_full Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study
title_fullStr Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study
title_full_unstemmed Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study
title_short Disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in-silico study
title_sort disc measurement and nucleus calibration in a smoothened lumbar model increases the accuracy and efficiency of in silico study
topic Model calibration
Finite element analysis
Cross-sectional area ratio
Relative nucleus position
Smoothened surfaces
url https://doi.org/10.1186/s13018-021-02655-4
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