Statistical shape modeling of skeletal muscles improves the prediction of muscle strength

Motivation: Decline in muscle mass does not explain decline in muscle strength related to aging providing a compelling gap to investigate contribution of shape features in muscle strength. Goal(s): Our goal was to use statistical shape modeling (SSM) to investigate shape features of quadriceps muscles associated with muscle strength. Approach: We used SSM to extract dominant shape features of quadriceps. Extracted shape features were used to predict muscle strength. Results: Muscle shape features increased muscle strength prediction compared to muscle volume alone. These shape features may reflect architecture rearrangement of the quadriceps as a result of aging. Impact: Shape features of quadriceps muscles extracted from statistical shape modeling demonstrated a higher prediction of muscle strength of the rectus femoris, the vastus lateralis and the vastus medialis muscles in healthy subjects.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2214
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
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article

Statistical shape modeling of skeletal muscles improves the prediction of muscle strength

Valentina Mazzoli, Salim Bin Ghouth
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Sports Performance and Training
article

Statistical shape modeling of skeletal muscles improves the prediction of muscle strength

Valentina Mazzoli, Salim Bin Ghouth
article en

Abstract

Motivation: Decline in muscle mass does not explain decline in muscle strength related to aging providing a compelling gap to investigate contribution of shape features in muscle strength. Goal(s): Our goal was to use statistical shape modeling (SSM) to investigate shape features of quadriceps muscles associated with muscle strength. Approach: We used SSM to extract dominant shape features of quadriceps. Extracted shape features were used to predict muscle strength. Results: Muscle shape features increased muscle strength prediction compared to muscle volume alone. These shape features may reflect architecture rearrangement of the quadriceps as a result of aging. Impact: Shape features of quadriceps muscles extracted from statistical shape modeling demonstrated a higher prediction of muscle strength of the rectus femoris, the vastus lateralis and the vastus medialis muscles in healthy subjects.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 68%
Sports Performance and Training
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