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

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...
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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,...

You might also read

Related Articles

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

Sort by
Same author

Clinical Utility of Tissue Proximity Indication With a Variable-Loop Circular Catheter for Pulmonary Vein Isolation.

Journal of cardiovascular electrophysiology·2026
Same author

Clinical Utility of the TRENDS Remote Monitoring Function Integrated into a Wearable Cardioverter-Defibrillator.

Sensors (Basel, Switzerland)·2026
Same author

Definitive proton therapy for unresectable trunk soft tissue sarcoma: a single-institution prospective registry-based cohort study.

Clinical and translational radiation oncology·2026
Same author

In Vitro Assessment of 3T MRI Effects on Non-3T-Compatible Cardiac Implantable Electronic Devices.

Journal of cardiovascular electrophysiology·2026
Same author

Clear cell carcinoma arising from abdominal wall endometriosis: A case report with imaging findings and pathologic correlation.

Radiology case reports·2026
Same author

Hippocampal subregional texture features associated with Alzheimer's disease severity and cognition.

Brain communications·2026

Related Experiment Video

Updated: May 22, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Ultrafast acceleration of Synthetic MRI acquisition while maintaining quantitative values: Validation study.

Masahiro Nakashima1, Tatsuya Kawai2, Kazuhisa Matsumoto1

  • 1Department of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

European Journal of Radiology
|May 20, 2026
PubMed
Summary

Ultrafast Synthetic MRI (SyMRI) using Smart Speed AI (SSAI) significantly accelerates scan times to 1 minute. Quantitative R2 and T2 values maintain high agreement with conventional protocols, enabling rapid neurological assessments.

Keywords:
AIAccelerationBrainMRISynthetic MRI

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

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

Related Experiment Videos

Last Updated: May 22, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

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

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

Area of Science:

  • Radiology and Medical Imaging
  • Biomedical Engineering
  • Neuroscience

Background:

  • Synthetic MRI (SyMRI) offers valuable clinical and research insights but is limited by long acquisition times (5-6 minutes).
  • Acute neurological conditions necessitate rapid imaging, posing a challenge for conventional SyMRI protocols.
  • Developing accelerated SyMRI techniques is crucial for expanding its clinical utility.

Purpose of the Study:

  • To validate an ultrafast SyMRI acceleration algorithm using Smart Speed AI (SSAI).
  • To identify quantitative MRI parameters that maintain high agreement with conventional protocols under accelerated acquisition.
  • To assess the feasibility of 1-minute SyMRI acquisition for clinical applications.

Main Methods:

  • Ten healthy volunteers underwent 3.0T MRI using a multi-dynamic multi-echo (MDME) sequence.
  • Three imaging protocols were compared: 5.5-min SENSE, 4-min SSAI, and 1-min SSAI.
  • Quantitative parameters (R1, R2, T1, T2, PD) and ROI standard deviations were analyzed using Bland-Altman, linear mixed-effects, and ICC analyses.

Main Results:

  • No significant differences were found for R2, T2, and PD values between acquisition methods.
  • R2 and T2 values showed no significant differences across 15 anatomical regions between acquisition methods.
  • Standard deviation within ROIs decreased with shorter acquisition times, indicating improved precision.

Conclusions:

  • Ultrafast SyMRI with SSAI, particularly the 1-minute protocol, demonstrates high agreement for R2 and T2 values.
  • Accelerated SyMRI maintains quantitative accuracy, making it suitable for time-critical neurological imaging.
  • This validates the potential of ultrafast SyMRI for broader clinical and research applications.