Keywords: Muscle, Muscle
Motivation: Quantitative MRI (qMRI) is valuable for assessing muscle properties but often lacks specificity and functional linkage.
Goal(s): The MOTION study aims to (i) identify key factors affecting qMRI measures and assess the value of qMRI measures for muscle (ii) classification and (iii) force prediction.
Approach: Whole-leg qMRI, muscle force, and lifestyle data were collected from 79 of 162 healthy volunteers. Covariate analysis was performed, and models were trained for muscle classification and force prediction using qMRI, volume, and biometric data.
Results: qMRI parameters are affected by muscle type, gender, and lean body mass. Furthermore, qMRI parameters improved muscle classification, but not force prediction.
Impact: This study identifies key covariates and demonstrates the added value of qMRI for muscle classification, while highlighting volume and biometric data as primary predictors of muscle force. Understanding which parameters define normal parameters aids in understanding muscle abnormalities.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords