Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 111-119 |
| Number of pages | 9 |
| Journal | Journal of biomechanics |
| Volume | 53 |
| DOIs | |
| Publication status | Published - Feb 2017 |
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Keywords
- Cadaver
- Lumbar spine
- Muscles
- Musculo-skeletal model
- Sarcomere length
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Twente spine model : A complete and coherent dataset for musculo-skeletal modeling of the lumbar region of the human spine. / Bayoglu, Riza (Corresponding Author); Geeraedts, Leo; Groenen, Karlijn; Verdonschot, Nico; Koopman, Bart; Homminga, Jasper.
In: Journal of biomechanics, Vol. 53, 02.2017, p. 111-119.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Twente spine model
T2 - A complete and coherent dataset for musculo-skeletal modeling of the lumbar region of the human spine
AU - Bayoglu, Riza
AU - Geeraedts, Leo
AU - Groenen, Karlijn
AU - Verdonschot, Nico
AU - Koopman, Bart
AU - Homminga, Jasper
PY - 2017/2
Y1 - 2017/2
N2 - Musculo-skeletal modeling can greatly help in understanding normal and pathological functioning of the spine. For such models to produce reliable muscle and joint force estimations, an adequate set of musculo-skeletal data is necessary. In this study, we present a complete and coherent dataset for the lumbar spine, based on medical images and dissection measurements from one embalmed human cadaver. We divided muscles into muscle-tendon elements, digitized their attachments at the bones and measured morphological parameters. In total, we measured 11 muscles from one body side, using 96 elements. For every muscle element, we measured three-dimensional coordinates of its attachments, fiber length, tendon length, sarcomere length, optimal fiber length, pennation angle, mass, and physiological cross-sectional area together with the geometry of the lumbar spine. Results were consistent with other anatomical studies and included new data for the serratus posterior inferior muscle. The dataset presented in this paper enables a complete and coherent musculo-skeletal model for the lumbar spine and will improve the current state-of-the art in predicting spinal loading.
AB - Musculo-skeletal modeling can greatly help in understanding normal and pathological functioning of the spine. For such models to produce reliable muscle and joint force estimations, an adequate set of musculo-skeletal data is necessary. In this study, we present a complete and coherent dataset for the lumbar spine, based on medical images and dissection measurements from one embalmed human cadaver. We divided muscles into muscle-tendon elements, digitized their attachments at the bones and measured morphological parameters. In total, we measured 11 muscles from one body side, using 96 elements. For every muscle element, we measured three-dimensional coordinates of its attachments, fiber length, tendon length, sarcomere length, optimal fiber length, pennation angle, mass, and physiological cross-sectional area together with the geometry of the lumbar spine. Results were consistent with other anatomical studies and included new data for the serratus posterior inferior muscle. The dataset presented in this paper enables a complete and coherent musculo-skeletal model for the lumbar spine and will improve the current state-of-the art in predicting spinal loading.
KW - Cadaver
KW - Lumbar spine
KW - Muscles
KW - Musculo-skeletal model
KW - Sarcomere length
U2 - 10.1016/j.jbiomech.2017.01.009
DO - 10.1016/j.jbiomech.2017.01.009
M3 - Article
VL - 53
SP - 111
EP - 119
JO - Journal of biomechanics
JF - Journal of biomechanics
SN - 0021-9290
ER -