The Nucleus Pulpous of Intervertebral Disc Effect on Finite Element Modeling of Spine
International Clinical Neuroscience Journal,
Vol. 3 No. 3 (2016),
7 December 2016
,
Page 150-157
https://doi.org/10.22037/icnj.v3i3.14751
Abstract
BACKGROUND: Spine of an adult is made up of five areas that include 7 cervical vertebrae, 12 thoracic vertebrae, 5 lumbar vertebrae, sacrum and finally coccyx. Selecting appropriate assumptions for modeling and biological analysis of the spine components has a significant impact on the accuracy of results in biomechanical simulation for different modes.
METHODS: In the present study, biomechanical analysis has been done on the spine by using finite element simulation. Dimensional characteristics of an individual’s spine components are obtained, then the spine model as one-piece and intervertebral discs as two modes of one-piece and two-piece (Annulus and Nucleus section) in the form of two separate models is modeled. Gravity caused by the weight of spine (gravity intensity of 9800 Newton per square millimeters) was applied to the model and output of stress, displacement and changing the angle between the vertebrae of the spine has been obtained.
RESULTS: The maximum displacement, stress and change of angle between the vertebrae in spine model with one-piece disc was 0.254 and 0.197 and -0.083 respectively, and for the model with two-piece disc is 0.399 and 0.205 and 0.021 respectively.
CONCLUSION: According to the results for examining the stress, there was no significant difference in choosing the assumption of two-piece or one-piece of the intervertebral disc, but results of the model analysis with assuming two pieces of the intervertebral disc is more appropriate in examining displacement and changing the angle between the vertebrae.
- Spinal Alignment
- Range of Motion
- Vertebrae Spine
- Annulus
- Nucleus.
How to Cite
References
Daniels JM, editor. Common Musculoskeletal Problems: A Handbook. 3nd ed. New York. Springer; 2015.
Bogduk N. Clinical anatomy of the lumbar spine and sacrum. 3nd ed. New York. Elsevier Health Sciences; 2005.
Peterson DR, Bronzino JD, editors. Biomechanics: principles and applications. 2nd ed. Florida. CRC press; 2007.
Ben-Hatira F, Saidane K, Mrabet A. A finite element modeling of the human lumbar unit including the spinal cord. Journal of Biomedical Science and Engineering. 2012 Mar 1;5(3):150.
Tsouknidas A, Michailidis N, Savvakis S, Anagnostidis K, Bouzakis KD, Kapetanos G. A finite element model technique to determine the mechanical response of a lumbar spine segment under complex loads. J Appl Biomech. 2012 Aug 1;28(4):448-56.
Gholampour S, Soleimani N, Karizi FZ, Zalii AR, Masoudian N, Seddighi AS. Biomechanical Assessment of Cervical Spine with Artificial Disc during Axial Rotation, Flexion and Extension. International Clinical Neuroscience Journal. 2016 Sep 22;3(2):113-9.
Gholampour S, Soleimani N, Zalii AR, Seddighi A. Numerical simulation of the cervical spine in a normal subject and a patient with intervertebral cage under various loadings and in various positions. International Clinical Neuroscience Journal. 2016 Sep 22;3(2):92-8.
Lalonde NM, Villemure I, Pannetier R, Parent S, Aubin CÉ. Biomechanical modeling of the lateral decubitus posture during corrective scoliosis surgery. Clinical Biomechanics. 2010 Jul 31;25(6):510-6.
Vrtovec T, Pernuš F, Likar B. A review of methods for quantitative evaluation of spinal curvature. European Spine Journal. 2009 May 1;18(5):593-607.
Shahab M, Seyfi B, Fatouraee N. A novel Approach for Automatic Calculation of Required Parameters in Spine Surgery using CT Images Row Data. Iranian Journal of Biomedical Engineering. 2015 Oct 18;9:1-15.
Cafolla D, Marco C. Design and simulation of humanoid spine. In New Trends in Mechanism and Machine Science. 2015 May 1;1:585-593.
Li K, Zhang J, Jiang J, Ma S. Lumbar spinal finite element analysis in a gravity environment. In Eighth International Conference on Digital Image Processing (ICDIP 2016). 2016 Aug 29;1:1-5.
Wilke HJ. Spine Research Is Multidisciplinary: 25 Years of Experiences. Spine. 2016 Apr 1;41:S1-3.
Wu Y, Wang Y, Wu J, Guan J, Mao N, Lu C, Lv R, Ding M, Shi Z, Cai B. Study of Double-level Degeneration of Lower Lumbar Spines by Finite Element Model. World Neurosurgery. 2016 Feb 29;86:294-9.
Shirazi-Adl, A., 1989. On the fibre composite material models of disc annulus—comparison of predicted stresses. Journal of Biomechanics, 22(4), pp.357-365.
Bahramshahi N. Finite element analysis of middle cervical. Ryerson university theses and dissertation; 2009.
Wang JL, Parnianpour M, Shirazi-Adl A, Engin AE, Li S, Patwardhan A. Development and validation of a viscoelastic finite element model of an L2/L3 motion segment. Theoretical and applied fracture mechanics. 1997 Nov 30;28(1):81-93.
Schwab CH. p-and hp-finite element methods: Theory and applications in solid and fluid mechanics. 1nd ed. Oxford: Oxford University Press; 1998.
Nassehi V. Practical aspects of finite element modelling of polymer processing. 1nd ed. Chichester: Wiley; 2002.
Frey PJ, George PL. Mesh Generation: Application to Finite Elements. 2nd ed. New Jersey. John Wiley & Sons; 2010.
Wang JL, Parnianpour M, Shirazi-Adl A, Engin AE, Li S, Patwardhan A. Development and validation of a viscoelastic finite element model of an L2/L3 motion segment. Theoretical and applied fracture mechanics. 1997 Nov 30;28(1):81-93.
Lee MJ, Zhang R, Zheng J, Ahn GS, Zhu C, Park TR, Cho SR, Shin CS, Ryu JS. IEEE 802.15. 5 WPAN mesh standard-low rate part: Meshing the wireless sensor networks. IEEE Journal on Selected Areas in Communications. 2010 Sep;28(7):973-83.
Skarka W. Application of MOKA methodology in generative model creation using CATIA. Engineering Applications of Artificial Intelligence. 2007 Aug 31;20(5):677-90.
Jahng TA, Kim YE, Moon KY. Comparison of the biomechanical effect of pedicle-based dynamic stabilization: a study using finite element analysis. The spine journal. 2013 Jan 31;13(1):85-94.
- Abstract Viewed: 563 times
- PDF Downloaded: 606 times