Literature DB >> 17933103

Generation of a finite element model of the thoracolumbar spine.

M A Tyndyka1, V Barron, P E McHugh, D O'Mahoney.   

Abstract

The goal of this study was to generate a realistic 3D FE model of the seven level thoracolumbar spine. This research focused on the development of a robust and efficient procedure for generating anatomical 3D FE models, directly from a series of medical images, i.e., CT data. A complex model of the spine was created by combining two different modelling approaches, namely the CAD and STL-CAD methods. In addition, the entire meshing procedure for the vertebrae was significantly speeded up by combining 3D tetrahedral elements with brick elements, relative to conventional mapped mesh generation procedures. The resulting model generation method allowed for flexibility in element choice and in element type combinations. The model was subjected to various compressive loads to asses the overall behaviour of the spine. This case study was performed to illustrate the usefulness of the FE model. In the authors' opinion, the model presented is an important tool in computational spine research as it can provide general information on spinal behaviour under various loading conditions whether healthy, diseased or damaged.

Entities:  

Mesh:

Year:  2007        PMID: 17933103

Source DB:  PubMed          Journal:  Acta Bioeng Biomech        ISSN: 1509-409X            Impact factor:   1.073


  4 in total

1.  Comparison of biomechanical properties of single- and two-segment fusion for Denis type B spinal fractures.

Authors:  Yun-shan Su; Dong Ren; Peng-cheng Wang
Journal:  Orthop Surg       Date:  2013-11       Impact factor: 2.071

2.  Computer-Aided Diagnosis for Determining Sagittal Spinal Curvatures Using Deep Learning and Radiography.

Authors:  Hyo Min Lee; Young Jae Kim; Je Bok Cho; Ji Young Jeon; Kwang Gi Kim
Journal:  J Digit Imaging       Date:  2022-03-11       Impact factor: 4.903

3.  Finite element analysis of the biomechanical effect of coflex™ on the lumbar spine.

Authors:  Dong-Hak Byun; Dong Ah Shin; Jin-Myung Kim; So-Hee Kim; Hyoung-Ihl Kim
Journal:  Korean J Spine       Date:  2012-09-30

4.  Robotic Replica of a Human Spine Uses Soft Magnetic Sensor Array to Forecast Intervertebral Loads and Posture after Surgery.

Authors:  Maohua Lin; Moaed A Abd; Alex Taing; Chi-Tay Tsai; Frank D Vrionis; Erik D Engeberg
Journal:  Sensors (Basel)       Date:  2021-12-29       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.