An inverse approach to estimating cervical spine disc material properties and disc stress under In vivo load

This study presents a novel inverse finite element approach to estimate in vivo cervical spine biomechanical function. A physics-constrained optimization framework is used to estimate subject-specific intervertebral disc properties and applied loads that reproduce measured motion. As a proof-of-concept, analysis of a healthy human subject was able to accurately replicate vertebral kinematics within 1 mm on average. Incorporating material heterogeneity significantly improved predictions, while loading assumptions influenced estimated stress distributions. Despite some nonuniqueness in parameter estimation, disc stress patterns remained consistent. As a proof-of-concept with one healthy subject and one flexion motion, this approach shows early promise for noninvasively assessing in vivo tissue properties.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2026-09-24
DOI
https://doi.org/10.1080/10255842.2026.2736259
Primary Topic
Spine and Intervertebral Disc Pathology
Type
article
Field-Weighted Citation Impact
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article

An inverse approach to estimating cervical spine disc material properties and disc stress under In vivo load

John C. Brigham, Clarissa M. LeVasseur, Soumaya Ouhsousou, Jeremy Shaw et al.
Computer Methods in Biomechanics & Biomedical Engineering
Spine and Intervertebral Disc Pathology
article

An inverse approach to estimating cervical spine disc material properties and disc stress under In vivo load

John C. Brigham, Clarissa M. LeVasseur, Soumaya Ouhsousou, Jeremy Shaw, William Anderst
article en

Abstract

This study presents a novel inverse finite element approach to estimate in vivo cervical spine biomechanical function. A physics-constrained optimization framework is used to estimate subject-specific intervertebral disc properties and applied loads that reproduce measured motion. As a proof-of-concept, analysis of a healthy human subject was able to accurately replicate vertebral kinematics within 1 mm on average. Incorporating material heterogeneity significantly improved predictions, while loading assumptions influenced estimated stress distributions. Despite some nonuniqueness in parameter estimation, disc stress patterns remained consistent. As a proof-of-concept with one healthy subject and one flexion motion, this approach shows early promise for noninvasively assessing in vivo tissue properties.

Computer Methods in Biomechanics & Biomedical Engineering
University of Pittsburgh (US)
Openalex Percentile: Top 12%
Spine and Intervertebral Disc Pathology
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