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Modeling of the Brain for Injury Simulation and Prevention

  • King H. YangEmail author
  • Albert I. King
Chapter
Part of the Biological and Medical Physics, Biomedical Engineering book series (BIOMEDICAL)

Abstract

According to the U.S. Centers for Disease Control and Prevention, traumatic brain injury (TBI) is a serious public health issue affecting 1.7 million people annually in the United States. Approximately 50,000 deaths were related to TBI each year [1] and at least 5.3 million Americans are living with TBI-related disabilities [2]. The most common causes of TBI include violent assaults, transportation-associated incidents, construction, and sports-related events [3]. As little can be done to reverse the initial brain damage caused by trauma, preventing TBI from happening and stabilizing a TBI victim to prevent further injury are two key areas of research. A better understanding of the causation and mechanisms of TBI can provide advancement in both areas.

Keywords

Foam Transportation Assure Cavitation Convolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Langlois, J.A., Rutland-Brown, W., Thomas, K.E.: Traumatic brain injury in the United States: Emergency Department Visits, Hospitalizations, and Deaths. Atlanta, GA: Dept. of Health and Human Services (US), Centers for Disease Control and Prevention, National Center for Injury Prevention and Control (2004)Google Scholar
  2. 2.
    Thurman, D.J., Alverson, C., Dunn, K.A., et al.: Traumatic brain injury in the United States: a public health perspective. J. Head Trauma Rehabil. 14(6), 602–615 (1999)CrossRefGoogle Scholar
  3. 3.
    Kushner, D.: Mild traumatic brain injury: toward understanding manifestations and treatment. Arch. Intern. Med. 158, 1617–1624 (1998)CrossRefGoogle Scholar
  4. 4.
    King, A.I., Yang, K.H., Zhang, L., et al.: Is head injury caused by linear or angular acceleration? Proceedings of the IRCOBI Conference, Lisbon, Portugal, 24–27 September 2003Google Scholar
  5. 5.
    Zhang, L., Dwarampudi, R., Yang, K.H., et al.: Effectiveness of the football helmet assessed by finite element modeling and impact testing. Proceedings of the 2003 IRCOBI Conference, Lisbon, Portugal, pp. 27–38, 24–27 September 2003Google Scholar
  6. 6.
    Rowson, S., Brolinson, G., Goforth, M., et al.: Linear and angular head acceleration measurements in collegiate football. J. Biomech. Eng. 131(6), 061016 (2009)CrossRefGoogle Scholar
  7. 7.
    Yang, K.H., Hu, J., White, N.A., et al.: Development of numerical models for injury biomechanics research: a review of 50 years of publications in the Stapp Car Crash Conference. Stapp Car Crash J. 50, 429–490 (2006)Google Scholar
  8. 8.
    Nahum, A.M., Smith, R., Ward, C.C.: Intracranial pressure dynamics during head impact. Proceedings of the 21st Stapp Car Crash Conference, SAE Paper No. 770922 (1977)Google Scholar
  9. 9.
    Trosseille, X., Tarriere, C., Lavaste, F., et al.: Development of a FEM of the human head according to a specific test protocol. Proceedings of the 30th Stapp Car Crash Conference, SAE 922527, pp. 235–253 (1992)Google Scholar
  10. 10.
    Hardy, W.N., Foster, C.D., Mason, M.J., et al.: Investigation of head injury mechanisms using neutral density technology and high-speed biplanar x-ray. Stapp Car Crash J. 45, 337–368 (2001)Google Scholar
  11. 11.
    Hardy, W.N., Mason, M.J., Foster, C.D., et al.: A study of the response of the human cadaver head to impact. Stapp Car Crash J. 51, 17–80 (2007)Google Scholar
  12. 12.
    Viano, D.C., Casson, I.R., Pellman, E.J., et al.: Concussion in professional football: brain responses by finite element analysis – part 9. J. Neurosurg. 57, 891–916 (2005)CrossRefGoogle Scholar
  13. 13.
    Marjoux, D., Baumgartner, D., Deck, C., et al.: Head injury prediction capability of the HIC, HIP, SIMon and ULP criteria. Accid. Anal. Prev. 40(3), 1135–1148 (2008)CrossRefGoogle Scholar
  14. 14.
    Kleiven, S.: Predictors for traumatic brain injuries evaluated through accident reconstructions. Stapp Car Crash J. 51, 81–114 (2007)Google Scholar
  15. 15.
    Franklyn, M., Fildes, B., Zhang, L., et al.: Analysis of finite element models for head injury investigation: reconstruction of four real-world impacts. Stapp Car Crash J. 49, 1–32 (2005)Google Scholar
  16. 16.
    Zhang, L., Yang, K.H., King, A.I.: A proposed new injury tolerance for mild traumatic brain injury. J. Biomech. Eng. 126, 226–236 (2004)CrossRefGoogle Scholar
  17. 17.
    Ruan, J., Prasad, P.: The effects of skull thickness variations on human head dynamic impact responses. Stapp Car Crash J. 45, 395–414 (2001)Google Scholar
  18. 18.
    Kabbani, H., Raghuveer, T.S.: Craniosynostosis. Am. Fam. Physician 69(12), 2863–2870 (2004)Google Scholar
  19. 19.
    Ward, C., Thompson, R.B.: The development of a detailed finite element brain model, 19th Stapp Car Crash Conference, San Diego, CA, USA, SAE 751163 (1975)Google Scholar
  20. 20.
    Li, J., Zhang, J., Yoganandan, N., et al.: Regional brain strains and role of falx in lateral impact-induced head rotational acceleration. Biomed. Sci. Instrum. 43, 24–29 (2007)Google Scholar
  21. 21.
    Haines, D.E., Harkey, H.L., Al-Mefty, O.: The “subdural” space: a new look at an outdated concept. Neurosurgery 32(1), 111–120 (1993)CrossRefGoogle Scholar
  22. 22.
    Cloots, R.J., Gervaise, H.M., van Dommelen, J.A., et al.: Biomechanics of traumatic brain injury: influences of the morphologic heterogeneities of the cerebral cortex. Ann. Biomed. Eng. 36(7), 1203–1215 (2008)CrossRefGoogle Scholar
  23. 23.
    Elkin, B.S., Azeloglu, E.U., Costa, K.D., et al.: Mechanical heterogeneity of the rat hippocampus measured by atomic force microscope indentation. J. Neurotrauma 24(5), 812–822 (2007)CrossRefGoogle Scholar
  24. 24.
    van Dommelen, J.A., van der Sande, T.P., Hrapko, M., et al.: Mechanical properties of brain tissue by indentation: interregional variation. J. Mech. Behav. Biomed. Mater. 3(2), 158–166 (2010)CrossRefGoogle Scholar
  25. 25.
    Gennarelli, T.A., Thibault, L.E.: Biomechanics of acute subdural hematoma. J. Trauma 22(8), 680–686 (1982)CrossRefGoogle Scholar
  26. 26.
    Maxeiner, H., Wolff, M.: Pure subdural hematomas: a postmortem analysis of their form and bleeding points. Neurosurgery 50, 503–509 (2002)Google Scholar
  27. 27.
    Lee, M.C., Haut, R.C.: Insensitivity of tensile failure properties of human bridging veins to strain rate: implications in biomechanics of subdural hematoma. J. Biomech. 22(6–7), 537–542 (1989)CrossRefGoogle Scholar
  28. 28.
    Löwenhielm, P.: Dynamic properties of the parasagittal bridging veins. Z. Rechtsmed. 74, 55–62 (1974)CrossRefGoogle Scholar
  29. 29.
    Ho, J., Kleiven, S.: Dynamic response of the brain with vasculature: a three-dimensional computational study. J. Biomech. 40(13), 3006–3012 (2007)CrossRefGoogle Scholar
  30. 30.
    Zhang, L., Bae, J., Hardy, W.N., et al.: Computational study of the contribution of the vasculature on the dynamic response of the brain. Stapp Car Crash J. 46, 145–164 (2002)Google Scholar
  31. 31.
    Serrador, J.M., Picot, P.A., Rutt, B.K., et al.: MRI measures of middle cerebral artery diameter in conscious humans during simulated orthostasis. Stroke 31(7), 1672–1678 (2000)CrossRefGoogle Scholar
  32. 32.
    MacNeal, R.H., Harder, R.L.: A proposed standard set of problems to test finite element accuracy. Finite Elem. Anal. Des. 1, 3–20 (1985)CrossRefGoogle Scholar
  33. 33.
    Hughes, T.J.R.: The Finite Element Method – Linear Static and Dynamic Finite Element Analysis, Chapter 4. Prentice-Hall, New Jersey (1987). ISBN 0-13-317025-XGoogle Scholar
  34. 34.
    Jin, X., Lee, J.B., Leung, L.Y., et al.: Biomechanical response of the bovine pia-arachnoid complex to tensile loading at varying strain-rates. Stapp Car Crash J. 50, 637–649 (2006)Google Scholar
  35. 35.
    Jin, X., Ma, C., Zhang, L., et al.: Biomechanical response of the bovine pia-arachnoid complex to normal traction loading at varying strain rates. Stapp Car Crash J. 51, 115–126 (2007)Google Scholar
  36. 36.
    Jin, X.: Biomechanical response and constitutive modeling of bovine pia-arachnoid complex. Ph.D. thesis, Wayne State University (2009)Google Scholar
  37. 37.
    Gurdjian, E.S., Webster, J.E.: Head Injuries, pp. 62–76. Little Brown, Boston (1958)Google Scholar
  38. 38.
    Gurdjian, E.S., Lissner, H.R., Hodgson, V.R., et al.: Mechanisms of head injury. Clin. Neurosurg. 12, 112–128 (1966)Google Scholar
  39. 39.
    Ommaya, A.K., Grubb, R.L., Naumann, R.A.: Coup and contrecoup injury: observations on the mechanics of visible brain injuries in the rhesus monkey. J. Neurosurg. 35, 503–516 (1971)CrossRefGoogle Scholar
  40. 40.
    Gennarelli, T.A., Adams, J.H., Graham, D.I.: Acceleration induced head injury in the monkey. I. The model, its mechanical and physiological correlates. Acta Neuropathol. Suppl. 7, 23–25 (1981)Google Scholar
  41. 41.
    Gennarelli, T.A., Thibault, L.E., Adams, J.H., Graham, D.I., Thompson, C.J., Marcincin, R.P.: Diffuse axonal injury and traumatic coma in the primate. Ann Neurol. 12(6), 564–574 (1982)Google Scholar
  42. 42.
    Bandak, F.A., Eppinger, R.H.: A three-dimensional finite element analysis of the human brain under combined rotational and translational accelerations. Proceedings of the 38th Stapp Car Crash Conference, Ft. Lauderdale, FL. SAE, Warrendale (1994)Google Scholar
  43. 43.
    Takhounts, E.G., Eppinger, R.H., Campbell, J.Q., et al.: On the development of the SIMon finite element head model. Stapp Car Crash J. 47, 107–133 (2003)Google Scholar
  44. 44.
    Shenkin, H.A.: Acute subdural hematoma. Review of 39 consecutive cases with high incidence of cortical artery rupture. J. Neurosurg. 57, 254–257 (1982)CrossRefGoogle Scholar
  45. 45.
    Gurdjian, E.S., Lissner, H.R., Latimer, F.R., et al.: Quantitative determination of acceleration and intracranial pressure in experimental head injury: preliminary report. Neurology 3(6), 417–423 (1953)Google Scholar
  46. 46.
    White, N.A., Begeman, P.C., Hardy, W.N., et al.: Investigation of upper body and cervical spine kinematics of post mortem human subjects (PMHS) during low-speed, rear-end impacts. SAE 2009 World Congress and Expo 2009-01-0387 (2009)Google Scholar
  47. 47.
    Igarashi, T., Potts, M.B., Noble-Haeusslein, L.J.: Injury severity determines Purkinje cell loss and microglial activation in the cerebellum after cortical contusion injury. Exp. Neurol. 203(1), 258–268 (2007)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Wayne State UniversityDetroitUSA

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