Evidence map›Paper›PMID 41232504›Full record

ArticleJournal of biomechanics2026

MRI-based 3D estimation of skeletal muscle architecture and strain during contraction.

Roberto A Pineda Guzman, Carly A Lockard, Xingyu Zhou, Evelyn Bombard, Crystal Coolbaugh, Mariana E Kersh, Bruce M Damon, Melissa T Hooijmans

Abstract read
In one paragraph

Article in Journal of biomechanics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Roberto A Pineda GuzmanCarle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, USA.
Carly A LockardCarle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, USA.
Xingyu ZhouCarle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Evelyn BombardDepartment of Aerospace Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Crystal CoolbaughVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Mariana E KershDepartment of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Biomedical and Translational Sciences, Carle-Illinois College of Medicine, Urbana, IL, USA.
Bruce M DamonCarle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Biomedical and Translational Sciences, Carle-Illinois College of Medicine, Urbana, IL, USA; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana IL USA; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA. Electronic address: bruce.damon@carle.com.
Melissa T HooijmansCarle Clinical Imaging Research Program, Stephens Family Clinical Research Institute, Carle Health, Urbana, IL, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.

Funding

Development and Application of Muscle Diffusion Tensor MRIR01AR073831 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAMON, BRUCE M. · 2019 to 2024
$2.1M
NIAMS NIH HHS R01 AR073831
6 · The paper itself

Abstract

Skeletal muscle generates forces that drive the motion of the human body. Three-dimensional (3D) quantification of whole-muscle architecture and strain, and their relationship during contraction is critical to understanding the mechanical function of skeletal muscle in health and disease. This has proven to be challenging, as brightness mode ultrasound is capable of measuring muscle architecture during contraction but cannot capture 3D changes in whole-muscle architecture, while Diffusion Tensor Imaging (DTI)-based tractography can measure 3D whole-muscle architecture but its use during contraction is precluded by long scan times (>5 min). In this study, we implement DTI-based tractography with an image registration-based approach, previously validated under passive deformation, to estimate 3D whole-muscle architecture of the tibialis anterior (TA) muscle during moderate intensity contractions (20-40 % MVC). Moreover, this approach allows the measurement of whole-muscle strain during contraction, facilitating the evaluation of intramuscular relationships between architecture and strain. Our results show a decrease in the fiber-tract length, an increase in the pennation angle, and an increase in the fiber curvature of the TA during contraction. Intramuscular strain heterogeneity was observed between and within different regions of the muscle, with exploratory analyses suggesting that regional strain heterogeneity could be influenced by muscle architecture. Our results showcase the potential of MRI-based methods to obtain 3D estimates of whole-muscle architecture and strain during contraction, providing a breadth of new data that allows for new avenues of skeletal muscle biomechanical research.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingMuscle ContractionMuscle, SkeletalAdultDiffusion Tensor ImagingFemaleHumansMaleStress, MechanicalYoung AdultMRIMuscle architectureMuscle contractionMuscle strainSkeletal muscle

Identifiers

PMID41232504
PMCPMC13222476

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.