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Estimation of Patient Specific Lumbar Spine Muscle Forces Using Multi-physical Musculoskeletal Model and Dynamic MRI

  • Tien Tuan Dao
  • Philippe Pouletaut
  • Fabrice Charleux
  • Áron Lazáry
  • Peter Eltes
  • Peter Pal Varga
  • Marie Christine Ho Ba Tho
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 245)

Abstract

Trunk muscle forces are of great interest in the diagnosis and treatment of low back pain diseases. Musculoskeletal modeling is often used to estimate muscle forces using optimization principle. Available parameterized multibody lumbar spine models used generic geometries and literature-based values leading to inaccurate muscle architecture and muscle forces not reliable for a specific case. In this present study, a multi-physical musculoskeletal model of the lumbar spine was developed from medical imaging to estimate patient specific trunk muscle forces with lumbar spine range of motions derived from dynamic MRI data in supine position. As results, a 3D patient specific musculoskeletal model was developed with 126 muscle fascicles. Maximal estimated forces of all muscle groups range from 3 to 40 N for hyperlordosis motion. The higher muscle forces were estimated in iliocostalis lumborum pars lumborum. This study has demonstrated that patient specific modeling is essential for clinical analysis of lumbar spine.

Keywords

Lumbar Spine Muscle Force Dynamic Magnetic Resonance Image Muscle Fascicle Musculoskeletal Model 
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.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Tien Tuan Dao
    • 1
  • Philippe Pouletaut
    • 1
  • Fabrice Charleux
    • 2
  • Áron Lazáry
    • 3
  • Peter Eltes
    • 3
  • Peter Pal Varga
    • 3
  • Marie Christine Ho Ba Tho
    • 1
  1. 1.UTC CNRS UMR 7338, Biomechanics and Bioengineering (BMBI)University of Technology of CompiègneCompiègne cedexFrance
  2. 2.ACRIM-Polyclinique St CômeCompiègne CedexFrance
  3. 3.National Center for Spinal DisordersBuda Health CenterBudapestHungary

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