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

8.6K
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...
8.6K

You might also read

Related Articles

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

Sort by
Same author

Consensus recommendations for clinical functional MRI applied to language mapping.

Aperture neuro·2026
Same author

Role of Perfusion Parameters on Outcomes and Safety of Endovascular Therapy in Posterior Cerebral Artery Stroke.

Stroke·2026
Same author

MAD-MT Score: A Tool to Optimize Patient Selection for Mechanical Thrombectomy in Distal Vessel Occlusions.

Stroke·2026
Same author

Multiparametric MRI Model Predicts Parenchymal Hematoma in Acute Ischemic Stroke After Reperfusion.

AJNR. American journal of neuroradiology·2026
Same author

Dysfunctional large-scale networks linking PTSD and cognitive impairment.

Journal of psychiatric research·2026
Same author

Machine Learning for Distal Medium-Vessel Occlusion Detection: Advances, Challenges, and Future Directions.

Journal of neuroimaging : official journal of the American Society of Neuroimaging·2026

Related Experiment Video

Updated: Nov 28, 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

9.5K

High-resolution Structural Magnetic Resonance Imaging and Quantitative Susceptibility Mapping.

Vivek Yedavalli1, Phillip DiGiacomo2, Elizabeth Tong3

  • 1Department of Radiology, Stanford University, 300 Pasteur Drive, Room S047, Stanford, CA 94305-5105, USA; Division of Neuroradiology, Johns Hopkins University, 600 N. Wolfe St. B-112 D, Baltimore, MD 21287, USA.

Magnetic Resonance Imaging Clinics of North America
|November 25, 2020
PubMed
Summary

High-resolution 7-T MRI and quantitative susceptibility mapping offer superior anatomic detail for detecting subtle abnormalities. This review covers techniques for translating 1.5/3-T sequences to 7-T MRI, advancing disease understanding and diagnosis.

Keywords:
High-resolution 7 THippocampusMidbrainMotion correctionNeurodegenerative diseasesNeuropsychiatric diseasesQuantitative susceptibility mapping

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.9K
High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem
08:16

High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem

Published on: December 30, 2015

15.7K

Related Experiment Videos

Last Updated: Nov 28, 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

9.5K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.9K
High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem
08:16

High-resolution Structural Magnetic Resonance Imaging of the Human Subcortex In Vivo and Postmortem

Published on: December 30, 2015

15.7K

Area of Science:

  • Radiology
  • Medical Imaging
  • Neuroimaging

Background:

  • Conventional MRI strengths (1.5/3 T) have limitations in visualizing deep brain structures and microscopic architecture.
  • High signal-to-noise ratio and contrast in 7-T MRI enhance visualization of anatomic detail.
  • Quantitative susceptibility mapping (QSM) is an advanced technique for delineating microscopic architecture.

Purpose of the Study:

  • To review techniques and caveats for translating MRI sequences from 1.5/3 T to high-resolution 7-T imaging.
  • To discuss the potential of high-resolution 7-T imaging in advancing the understanding, diagnosis, and management of various diseases.
  • To highlight the improved detection of subtle abnormalities with 7-T MRI and QSM.

Main Methods:

  • Review of existing literature on 7-T MRI techniques and quantitative susceptibility mapping.
  • Discussion of sequence translation challenges and solutions for high-field MRI.
  • Application examples across broad disease categories.

Main Results:

  • High-resolution 7-T imaging significantly improves signal/noise ratio and contrast, yielding greater anatomic detail.
  • Advanced techniques like QSM enable delineation of microscopic architecture, revealing findings imperceptible on lower-field MRI.
  • Successful translation of common MRI sequences to 7-T is feasible with appropriate techniques.

Conclusions:

  • High-resolution 7-T MRI, particularly with QSM, offers unprecedented anatomic detail for improved detection of pathologies.
  • Translating sequences to 7-T imaging requires careful consideration of technical caveats but offers significant diagnostic advantages.
  • 7-T MRI has the potential to revolutionize disease understanding, diagnosis, and patient management across multiple clinical applications.