Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.9K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.9K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

195
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
195

You might also read

Related Articles

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

Sort by
Same author

Multi-shot diffusion tensor imaging in the lumbosacral spinal cord: Characterizing heterogeneity in healthy tissue and differences in multiple sclerosis.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Spinal cord imaging for multiple sclerosis: Advances, priorities, and opportunities.

Multiple sclerosis (Houndmills, Basingstoke, England)·2026
Same author

Spinal cord imaging in multiple sclerosis: A vital component we can no longer overlook.

Multiple sclerosis (Houndmills, Basingstoke, England)·2026
Same author

Updates in Multiple Sclerosis Imaging.

Federal practitioner : for the health care professionals of the VA, DoD, and PHS·2026
Same author

A proof-of-concept study on the relationship between lifetime Estrogen exposure, menopausal transition, and neurodegeneration in women with multiple sclerosis.

Journal of the neurological sciences·2026
Same author

Baricitinib triggering a central nervous system inflammatory-demyelinating disease: A case report.

Multiple sclerosis journal - experimental, translational and clinical·2026

Related Experiment Video

Updated: Dec 29, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.6K

Rapid whole-brain quantitative magnetization transfer imaging using 3D selective inversion recovery sequences.

Matthew J Cronin1, Junzhong Xu2, Francesca Bagnato3

  • 1Vanderbilt University Medical Center, Department Radiology and Radiological Sciences, Nashville, TN, United States of America; Vanderbilt University Medical Center, Institute of Imaging Science, Nashville, TN, United States of America.

Magnetic Resonance Imaging
|February 1, 2020
PubMed
Summary

This study optimized selective inversion recovery (SIR) for faster whole-brain myelin imaging. The turbo field echo (SIR-TFE) method achieved the shortest scan times with repeatable results, suitable for clinical applications.

More Related Videos

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.7K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.0K

Related Experiment Videos

Last Updated: Dec 29, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.6K
Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
17:16

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

Published on: December 9, 2010

10.7K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.0K

Area of Science:

  • Quantitative Magnetic Resonance Imaging
  • Neuroimaging Techniques
  • Biomarker Discovery

Background:

  • Selective Inversion Recovery (SIR) is a quantitative Magnetization Transfer (qMT) method for myelin estimation.
  • Previous SIR methods required long scan times, limiting whole-brain applicability.
  • Accurate myelin quantification is crucial for understanding white matter diseases.

Purpose of the Study:

  • To develop and evaluate efficient whole-brain SIR techniques for myelin imaging.
  • To compare the performance of different 3D readouts (TSE, EPI, TFE) for SIR.
  • To assess the accuracy, repeatability, and lesion detection capabilities of optimized SIR methods.

Main Methods:

  • Combined optimized short-TR acquisitions, SENSE/partial-Fourier accelerations, and 3D readouts (SIR-TSE, SIR-EPI, SIR-TFE).
  • Acquired whole-brain data in 18, 10, and 7 minutes for SIR-TSE, SIR-EPI, and SIR-TFE, respectively.
  • Validated methods using numerical simulations, healthy subjects (n=8), and multiple sclerosis patients (n=2).

Main Results:

  • All SIR schemes provided accurate parameters in homogenous regions; SIR-TFE showed slight underestimation of focal changes in simulated lesions.
  • Experimental data in healthy subjects showed repeatable PSR (2.2-6.4%) and R1f (0.6-1.4%) values across readouts.
  • SIR-TFE demonstrated lowest variability; SIR-EPI was affected by susceptibility distortions. Focal changes were observed in MS lesions, with reduced contrast for smaller lesions in SIR-TFE.

Conclusions:

  • Efficient, accurate, and repeatable whole-brain SIR is achievable with 3D TFE, EPI, or TSE readouts.
  • SIR-TFE offers the fastest acquisition with good repeatability, suitable for whole-brain myelin imaging.
  • The choice of readout should be application-dependent, balancing speed, accuracy, and lesion sensitivity.