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

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

134
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
134
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

6.5K
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...
6.5K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

50
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,...
50

You might also read

Related Articles

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

Sort by
Same author

Decentralized worker-centred occupational management in health care: nationwide survey and alpha testing.

Occupational medicine (Oxford, England)·2025
Same author

Ruptured Renal Angiomyolipoma.

Journal of the Belgian Society of Radiology·2022
Same author

Fatal vaccine-induced immune thrombotic thrombocytopenia (VITT) post Ad26.COV2.S: first documented case outside US.

Infection·2021
Same author

Arachnoiditis Ossificans.

Journal of the Belgian Society of Radiology·2021
Same author

CT Features of Saba Senegalensis (a Tropical Fruit) in Patients with Abdominal Pain.

Journal of the Belgian Society of Radiology·2018

Related Experiment Video

Updated: Sep 5, 2025

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.2K

Synthetic MRI for stroke: a qualitative and quantitative pilot study.

Joachim André1, Sami Barrit2, Patrice Jissendi3

  • 1Department of Radiology, Hôpital Erasme, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Anderlecht, Brussels, Belgium. Joachim.Andre@ulb.be.

Scientific Reports
|July 7, 2022
PubMed
Summary

Synthetic MR imaging offers superior lesion definition in stroke detection compared to conventional MRI. This advanced technique

More Related Videos

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

12.4K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.4K

Related Experiment Videos

Last Updated: Sep 5, 2025

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.2K
Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

12.4K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.4K

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Radiology

Background:

  • Synthetic MR (SyMR) generates multi-parametric quantitative data in a single acquisition.
  • The utility of SyMR in established stroke imaging protocols is not yet defined.
  • Conventional MRI sequences are time-consuming and may not capture all relevant tissue properties for stroke assessment.

Purpose of the Study:

  • To compare the image quality of synthetic and conventional brain MRI for stroke imaging.
  • To evaluate the synthetic relaxometry of acute and chronic ischemic lesions.
  • To investigate the potential of SyMR in differentiating lesion types and ages in stroke patients.

Main Methods:

  • Prospective acquisition of synthetic and conventional brain MRI in 43 adult patients with suspected stroke.
  • Assessment of image quality for lesion definition (DWI-positive/restricted ADC lesions, white matter hyperintensities) by two experienced readers.
  • Comparison of relaxometry (T1, T2, PD) between lesions and normal brain regions.

Main Results:

  • Synthetic images demonstrated superior lesion definition compared to conventional images (p < .001), with high inter-rater reliability (κ = 0.711–0.932).
  • Significant differences in relaxometry were observed between lesions (acute/chronic ischemic) and normal brain regions (p < .001).
  • Synthetic relaxometry successfully differentiated between acute and chronic ischemic lesions (p < .05).

Conclusions:

  • Synthetic MR imaging shows promise for stroke imaging by providing rapid, accessible, and quantitative data.
  • The superior image quality and ability to differentiate lesion types suggest SyMR can enhance stroke diagnosis and characterization.
  • Synthetic relaxometry offers a valuable tool for distinguishing acute from chronic ischemic changes, aiding in clinical management.