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]

There is a more recent version of this item available.

Data Catalogue DOI: 10.17638/datacat.liverpool.ac.uk/1105

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 Jun 2020 15:08

Last Modified:

19 Jun 2020 15:08

DOI:

10.17638/datacat.liverpool.ac.uk/1105