Twente spine model: A complete and coherent dataset for musculoskeletal modeling of the thoracic and cervical regions of the human spine

被引:15
作者
Bayoglu, Riza [1 ]
Geeraedts, Leo [2 ]
Groenen, Karlijn H. J. [3 ]
Verdonschot, Nico [1 ,3 ]
Koopman, Bart [1 ]
Homminga, Jasper [1 ]
机构
[1] Univ Twente, Dept Biomech Engn, POB 217, NL-7500 AE Enschede, Netherlands
[2] Radboud Univ Nijmegen, Med Ctr, Dept Anat, Nijmegen, Netherlands
[3] Radboud Univ Nijmegen, Med Ctr, Radboud Inst Hlth Sci, Orthopaed Res Lab, Nijmegen, Netherlands
基金
欧洲研究理事会;
关键词
Thoracic spine; Cervical spine; Cadaver; Musculo-skeletal model; Muscles; PCSA; Sarcomere length; Optimal-fiber length; SUBJECT-SPECIFIC MODELS; HUMAN NECK MUSCLES; QUADRATUS LUMBORUM; ERECTOR SPINAE; LUMBAR; PARAMETERS; BIOMECHANICS; SENSITIVITY; MORPHOLOGY; LOADS;
D O I
10.1016/j.jbiomech.2017.04.003
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Musculo-skeletal modeling could play a key role in advancing our understanding of the healthy and pathological spine, but the credibility of such models are strictly dependent on the accuracy of the anatomical data incorporated. In this study, we present a complete and coherent musculo-skeletal data set for the thoracic and cervical regions of the human spine, obtained through detailed dissection of an embalmed male cadaver. We divided the muscles into a number of muscle-tendon elements, digitized their attachments at the bones, and measured morphological muscle parameters. In total, 225 muscle elements were measured over 39 muscles. For every muscle element, we provide the coordinates of its attachments, fiber length, tendon length, sarcomere length, optimal fiber length, pennation angle, mass, and physiological cross-sectional area together with the skeletal geometry of the cadaver. Results were consistent with similar anatomical studies. Furthermore, we report new data for several muscles such as rotatores, multifidus, levatores costarum, spinalis, semispinalis, subcostales, transversus thoracis, and intercostales muscles. This dataset complements our previous study where we presented a consistent dataset for the lumbar region of the spine (Bayoglu et al., 2017). Therefore, when used together, these datasets enable a complete and coherent dataset for the entire spine. The complete dataset will be used to develop a musculo-skeletal model for the entire human spine to study clinical and ergonomic applications. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:52 / 63
页数:12
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