What is it about?

We present a complete and coherent musculoskeletal 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.

Featured Image

Why is it important?

The dataset presented in this paper enables a complete and coherent musculoskeletal model for the lumbar spine and will improve the current state-of-the-art in predicting spinal loading.

Perspectives

Spinal anatomy is very complex. It was very challenging to acquire this dataset, but I have enjoyed every aspect of the process. It was a great pleasure to make this work publicly available. This subject-specific anatomical dataset is unique in many ways, and I hope it will contribute to a better understanding of the spine's functioning.

Dr. Riza Bayoglu
University of Denver

Read the Original

This page is a summary of: Twente spine model: A complete and coherent dataset for musculo-skeletal modeling of the lumbar region of the human spine, Journal of Biomechanics, February 2017, Elsevier,
DOI: 10.1016/j.jbiomech.2017.01.009.
You can read the full text:

Read

Contributors

The following have contributed to this page