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Authors: A. Tsouknidas ; N. Michailidis ; S. Savvakis ; K. Anagnostidis ; G. Kapetanos and K.-D. Bouzakis

Affiliation: Aristoteles University of Thessaloniki, Greece

Keyword(s): Computer Tomography, Lumbar Spine, High Accuracy FEM Model, Biomechanical Response.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Methodologies and Technologies ; Model Design and Evaluation ; Operational Research ; Simulation

Abstract: The lumbar spine is origin of the most frequent complains among all human body parts, since almost 80% of the population will at some point in life exhibit back related pathologies which in their majority will not require invasive surgery. Regardless the cause or the development of the problem, the in-depth investigation of its cause is of the upmost importance during treatment or preoperative evaluation. In this context a model of the L1-L5 vertebra, capable of accurately assessing the biomechanical response of the lumbar spine derived from human activity as well as externally induced loads, would be an effective tool during the examination of normal or clinical conditions. This study presents a CT based FEM model of the lumbar spine taking into account all function related boundary conditions such as mechanical property anisotropy, ligaments, contact elements mesh size etc. The developed model is capable of comparing the mechanical response of a healthy lumbar spine to any given pa thology, which can be easily introduced into the model, thus providing valuable insight on the stress development within the model and predict critical movements and loads of potential patients. (More)

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Paper citation in several formats:
Tsouknidas, A.; Michailidis, N.; Savvakis, S.; Anagnostidis, K.; Kapetanos, G. and Bouzakis, K. (2011). A HIGH ACCURACY CT BASED FEM MODEL OF THE LUMBAR SPINE TO DETERMINE ITS BIOMECHANICAL RESPONSE . In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS; ISBN 978-989-8425-36-2; ISSN 2184-4305, SciTePress, pages 222-227. DOI: 10.5220/0003172102220227

@conference{bioinformatics11,
author={A. Tsouknidas. and N. Michailidis. and S. Savvakis. and K. Anagnostidis. and G. Kapetanos. and K.{-}D. Bouzakis.},
title={A HIGH ACCURACY CT BASED FEM MODEL OF THE LUMBAR SPINE TO DETERMINE ITS BIOMECHANICAL RESPONSE },
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS},
year={2011},
pages={222-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003172102220227},
isbn={978-989-8425-36-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2011) - BIOINFORMATICS
TI - A HIGH ACCURACY CT BASED FEM MODEL OF THE LUMBAR SPINE TO DETERMINE ITS BIOMECHANICAL RESPONSE
SN - 978-989-8425-36-2
IS - 2184-4305
AU - Tsouknidas, A.
AU - Michailidis, N.
AU - Savvakis, S.
AU - Anagnostidis, K.
AU - Kapetanos, G.
AU - Bouzakis, K.
PY - 2011
SP - 222
EP - 227
DO - 10.5220/0003172102220227
PB - SciTePress