Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Classification of Skeletal Muscle Fibers

Classification of Skeletal Muscle Fibers

Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Non-invasive detection of local microstructural damage in tendon using Diffusion Tensor MRI.

Acta biomaterialia·2026

Same author

The effect of microstructural variations in tendon and ligament on diffusion tensor MRI.

bioRxiv : the preprint server for biology·2026

Same author

Correction: Ultrashort-T2* mapping at 7 tesla using an optimized pointwise encoding time reduction with radial acquisition (PETRA) sequence at standard and extended echo times.

PloS one·2026

Same author

Study protocol for the Champaign-Urbana population study.

Frontiers in neuroimaging·2026

Same author

Ludan510, an excellent maize variety with high yield and quality, disease-resistant and stress tolerance.

Molecular breeding : new strategies in plant improvement·2026

Same author

White-Matter BOLD Mediates Time-Varying Cortico-Cortical Functional Connectivity.

bioRxiv : the preprint server for biology·2025

Same journal

Responsive paramagnetic chemical exchange saturation transfer MRI contrast agents.

Imaging in medicine·2019

Same journal

Digital pathology image analysis: opportunities and challenges.

Imaging in medicine·2018

Same journal

Imaging to optimize liver tumor ablation.

Imaging in medicine·2016

Same journal

Recent developments in dynamic contrast-enhanced ultrasound imaging of tumor angiogenesis.

Imaging in medicine·2014

Same journal

Diffusion tensor MRI as a biomarker in axonal and myelin damage.

Imaging in medicine·2014

Same journal

Effect of disease and recovery on functional anatomy in brain tumor patients: insights from functional MRI and diffusion tensor imaging.

Imaging in medicine·2014

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 20, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Diffusion-Tensor MRI Based Skeletal Muscle Fiber Tracking.

Bruce M Damon¹, Amanda K W Buck², Zhaohua Ding³

¹Institute of Imaging Science, Vanderbilt University, Nashville TN USA ; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville TN USA ; Department of Biomedical Engineering, Vanderbilt University, Nashville TN USA ; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville TN USA ; Program in Chemical and Physical Biology, Vanderbilt University, Nashville TN USA.

Imaging in Medicine

|November 28, 2014

Summary

This summary is machine-generated.

Diffusion-tensor imaging advances non-invasive skeletal muscle architecture studies. This technology tracks muscle fibers in 3D, offering new insights into muscle function and guiding future research directions.

Keywords:

DT-MRI DTI Pennation microstructure muscle mechanics muscle physiology striated muscle tractography

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Related Experiment Videos

Last Updated: Apr 20, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Area of Science:

Biomedical Engineering
Radiology
Musculoskeletal Imaging

Background:

Skeletal muscle function depends on fiber organization (muscle architecture).
Non-invasive methods are crucial for studying muscle architecture in vivo.
Diffusion-tensor magnetic resonance imaging (DT-MRI) fiber tracking is a key technology.

Purpose of the Study:

To review advances in DT-MRI fiber tracking for muscle architecture.
To highlight the integration of DT-MRI with other advanced imaging and computational methods.
To discuss future perspectives in muscle DT-MRI.

Main Methods:

Diffusion-tensor magnetic resonance imaging (DT-MRI) for fiber tracking.
Defining seed points for accurate fiber tracking.
Quantitative characterization of muscle architecture.
Denoising procedures and validation of tracking methods.

Main Results:

Significant technological advancements in muscle fiber tracking.
Demonstrated integration of DT-MRI data with other advanced MRI and computational techniques.
Established a foundation for novel insights into muscle function.

Conclusions:

DT-MRI fiber tracking is a powerful tool for non-invasive muscle architecture assessment.
Further research is needed to understand diffusion properties and establish best practices.
Integration with physiological data will enhance understanding of muscle function.