Estimation of in vivo inter-vertebral loading during motion using fluoroscopic and magnetic resonance image informed finite element models.

Zanjani-Pour, S., Meakin, J.R., Breen, A. C. and Breen, A. C., 2017. Estimation of in vivo inter-vertebral loading during motion using fluoroscopic and magnetic resonance image informed finite element models. Journal of biomechanics. (In Press)

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

DOI: 10.1016/j.jbiomech.2017.09.025

Abstract

Finite element (FE) models driven by medical image data can be used to estimate subject-specific spinal biomechanics. This study aimed to combine magnetic resonance (MR) imaging and quantitative fluoroscopy (QF) in subject-specific FE models of upright standing, flexion and extension. Supine MR images of the lumbar spine were acquired from healthy participants using a 0.5 T MR scanner. Nine 3D quasi-static linear FE models of L3 to L5 were created with an elastic nucleus and orthotropic annulus. QF data was acquired from the same participants who performed trunk flexion to 60o and trunk extension to 20o. The displacements and rotations of the vertebrae were calculated and applied to the FE model. Stresses were averaged across the nucleus region and transformed to the disc co-ordinate system (S1 = mediolateral, S2 = anteroposterior, S3 = axial). In upright standing S3 was predicted to be -0.7 ± 0.6 MPa (L3L4) and -0.6 ± 0.5 MPa (L4L5). S3 increased to -2.0 ± 1.3 MPa (L3L4) and -1.2 ± 0.6 MPa (L4L5) in full flexion and to -1.1 ± 0.8 MPa (L3L4) and -0.7 ± 0.5 MPa (L4L5) in full extension. S1 and S2 followed similar patterns; shear was small apart from S23. Disc stresses correlated to disc orientation and wedging. The results demonstrate that MR and QF data can be combined in a participant-specific FE model to investigate spinal biomechanics in vivo and that predicted stresses are within ranges reported in the literature.

Item Type:Article
ISSN:0021-9290
Uncontrolled Keywords:Finite element model ; Lumbar spine ; Fluoroscopy ; Magnetic Resonance Imaging
Group:Faculty of Science & Technology
ID Code:29846
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:10 Oct 2017 09:45
Last Modified:10 Oct 2017 09:45

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