Data for "Subject-specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models"

Charles, James P, Grant, Barbara, D'Août, Kris and Bates, Karl (2020) Data for "Subject-specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models". [Data Collection]

This is the latest version of this item.

Data Catalogue DOI: 10.17638/datacat.liverpool.ac.uk/1536

Original publication URL: https://doi.org/10.1111/joa.13261

Description

This dataset contains input and output data for the following journal article, where the relative accuracy of subject-specific muscle architecture from various MRI sequences for predicting muscle forces in musculoskeletal models is tested against those derived from generic, averaged data sets. Charles, JP., Grant, B., D' Août, K., Bates, K.T. (2020) Subject-specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models. J Anat. Please refer to README.txt for more information

Keywords:

Magnetic resonance imaging, fibre lengths, muscle volumes, muscle torques, biomechanical modelling

Divisions:

Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences > Musculoskeletal and Ageing Science

Depositing User:

James Charles

Date Deposited:

19 Nov 2021 16:52

Last Modified:

19 Nov 2021 16:52

DOI:

10.17638/datacat.liverpool.ac.uk/1536