Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine
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....
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doaj-ef73ec8c04c84d68a736ba070b6840c22021-09-03T19:21:52ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852021-08-01910.3389/fbioe.2021.721042721042Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar SpineMarie-Rosa Fasser 0Marie-Rosa Fasser 1Moritz Jokeit 2Moritz Jokeit 3Mirjam Kalthoff 4David A. Gomez Romero 5Tudor Trache6Jess G. Snedeker7Jess G. Snedeker8Mazda Farshad9Jonas Widmer 10Jonas Widmer 11Department of Orthopaedics, Balgrist University Hospital, Zurich, SwitzerlandInstitute for Biomechanics, ETH Zurich, Zurich, SwitzerlandDepartment of Orthopaedics, Balgrist University Hospital, Zurich, SwitzerlandInstitute for Biomechanics, ETH Zurich, Zurich, SwitzerlandInstitute for Biomechanics, ETH Zurich, Zurich, SwitzerlandInstitute for Biomechanics, ETH Zurich, Zurich, SwitzerlandDepartment of Orthopaedics, Balgrist University Hospital, Zurich, SwitzerlandDepartment of Orthopaedics, Balgrist University Hospital, Zurich, SwitzerlandInstitute for Biomechanics, ETH Zurich, Zurich, SwitzerlandDepartment of Orthopaedics, Balgrist University Hospital, Zurich, SwitzerlandDepartment of Orthopaedics, Balgrist University Hospital, Zurich, SwitzerlandInstitute for Biomechanics, ETH Zurich, Zurich, SwitzerlandMusculoskeletal 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.https://www.frontiersin.org/articles/10.3389/fbioe.2021.721042/fullspine biomechanicsmusculoskeletal modellingsubject-specificityupper body mass distributionthoracolumbar alignmentautomatized model generation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marie-Rosa Fasser Marie-Rosa Fasser Moritz Jokeit Moritz Jokeit Mirjam Kalthoff David A. Gomez Romero Tudor Trache Jess G. Snedeker Jess G. Snedeker Mazda Farshad Jonas Widmer Jonas Widmer |
spellingShingle |
Marie-Rosa Fasser Marie-Rosa Fasser Moritz Jokeit Moritz Jokeit Mirjam Kalthoff David A. Gomez Romero Tudor Trache Jess G. Snedeker Jess G. Snedeker Mazda Farshad Jonas Widmer Jonas Widmer Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine Frontiers in Bioengineering and Biotechnology spine biomechanics musculoskeletal modelling subject-specificity upper body mass distribution thoracolumbar alignment automatized model generation |
author_facet |
Marie-Rosa Fasser Marie-Rosa Fasser Moritz Jokeit Moritz Jokeit Mirjam Kalthoff David A. Gomez Romero Tudor Trache Jess G. Snedeker Jess G. Snedeker Mazda Farshad Jonas Widmer Jonas Widmer |
author_sort |
Marie-Rosa Fasser |
title |
Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine |
title_short |
Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine |
title_full |
Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine |
title_fullStr |
Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine |
title_full_unstemmed |
Subject-Specific Alignment and Mass Distribution in Musculoskeletal Models of the Lumbar Spine |
title_sort |
subject-specific alignment and mass distribution in musculoskeletal models of the lumbar spine |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Bioengineering and Biotechnology |
issn |
2296-4185 |
publishDate |
2021-08-01 |
description |
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. |
topic |
spine biomechanics musculoskeletal modelling subject-specificity upper body mass distribution thoracolumbar alignment automatized model generation |
url |
https://www.frontiersin.org/articles/10.3389/fbioe.2021.721042/full |
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