Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine

Copyright © 2021 Fasser , Jokeit , Kalthoff , Gomez Romero , Trache, Snedeker, Farshad and Widmer ..

Musculoskeletal modeling is a well-established method in spine biomechanics and generally employed for investigations concerning both the healthy and the pathological spine. It commonly involves inverse kinematics and optimization of muscle activity and provides detailed insight into joint loading. The aim of the present work was to develop and validate a procedure for the automatized generation of semi-subject-specific multi-rigid body models with an articulated lumbar spine. Individualization of the models was achieved with a novel approach incorporating information from annotated EOS images. The size and alignment of bony structures, as well as specific body weight distribution along the spine segments, were accurately reproduced in the 3D models. To ensure the pipeline's robustness, models based on 145 EOS images of subjects with various weight distributions and spinopelvic parameters were generated. For validation, we performed kinematics-dependent and segment-dependent comparisons of the average joint loads obtained for our cohort with the outcome of various published in vivo and in situ studies. Overall, our results agreed well with literature data. The here described method is a promising tool for studying a variety of clinical questions, ranging from the evaluation of the effects of alignment variation on joint loading to the assessment of possible pathomechanisms involved in adjacent segment disease.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

Frontiers in bioengineering and biotechnology - 9(2021) vom: 25., Seite 721042

Sprache:

Englisch

Beteiligte Personen:

Fasser, Marie-Rosa [VerfasserIn]
Jokeit, Moritz [VerfasserIn]
Kalthoff, Mirjam [VerfasserIn]
Gomez Romero, David A [VerfasserIn]
Trache, Tudor [VerfasserIn]
Snedeker, Jess G [VerfasserIn]
Farshad, Mazda [VerfasserIn]
Widmer, Jonas [VerfasserIn]

Links:

Volltext

Themen:

Automatized model generation
Bi-planar radiography
Journal Article
Musculoskeletal modelling
Spine biomechanics
Spine loading prediction
Subject-specificity
Thoracolumbar alignment
Upper body mass distribution

Anmerkungen:

Date Revised 18.09.2021

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fbioe.2021.721042

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM330742809