Mengoni, M orcid.org/0000-0003-0986-2769, Zapata-Cornelio, FY, Wijayathunga, VN et al. (1 more author) (2021) Experimental and Computational Comparison of Intervertebral Disc Bulge for Specimen-Specific Model Evaluation Based on Imaging. Frontiers in Bioengineering and Biotechnology, 9. 413. ISSN 2296-4185
Abstract
Finite element modelling of the spinal unit is a promising preclinical tool to assess the biomechanical outcome of emerging interventions. Currently, most models are calibrated and validated against range of motion and rarely directly against soft-tissue deformation. The aim of this contribution was to develop an in vitro methodology to measure disc bulge and assess the ability of different specimen-specific modelling approaches to predict disc bulge. Bovine bone-disc-bone sections (N = 6) were prepared with 40 glass markers on the intervertebral disc surface. These were initially magnetic resonance (MR)-imaged and then sequentially imaged using peripheral-qCT under axial compression of 1 mm increments. Specimen-specific finite-element models were developed from the CT data, using three different methods to represent the nucleus pulposus geometry with and without complementary use of the MR images. Both calibrated specimen-specific and averaged compressive material properties for the disc tissues were investigated. A successful methodology was developed to quantify the disc bulge in vitro, enabling observation of surface displacement on qCT. From the finite element model results, no clear advantage was found in using geometrical information from the MR images in terms of the models’ ability to predict stiffness or disc bulge for bovine intervertebral disc.}
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 Mengoni, Zapata-Cornelio, Wijayathunga and Wilcox. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) |
Keywords: | intervertebral disc, bulge, modelling, reverse engineering, MRI |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/K020757/1 NIHR National Inst Health Research LMBRC |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Aug 2021 10:18 |
Last Modified: | 17 Dec 2024 14:16 |
Status: | Published |
Publisher: | Frontiers Research Foundation |
Identification Number: | 10.3389/fbioe.2021.661469 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161897 |