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

8.5K
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...
8.5K

You might also read

Related Articles

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

Sort by
Same author

Longitudinal MAP-MRI-based Assessment of Tissue Microstructural Alterations in Acute mTBI.

medRxiv : the preprint server for health sciences·2026
Same author

Localization-driven exchange contrast in diffusion exchange spectroscopy.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
Same author

Diffusion-relaxation MRI as virtual histology: separable microstructural signatures of AD pathology in ex vivo human brain.

Research square·2026
Same author

Passive water exchange between multiple sites can explain why apparent exchange rate constants depend on ionic and osmotic conditions in gray matter.

Magnetic resonance letters·2026
Same author

Localization-driven exchange contrast in diffusion exchange spectroscopy.

ArXiv·2026
Same author

Towards Mesoscopic Human Brain Imaging Using Non-Parametric Diffusion Tensor Distribution (DTD) MRI.

bioRxiv : the preprint server for biology·2026
Same journal

Efficient <sup>15</sup>N hyperpolarization of [<sup>15</sup>N<sub>3</sub>]metronidazole antibiotic via spin-relayed pulsed SABRE-SHEATH.

Journal of magnetic resonance open·2026
Same journal

Magnetic resonance coil prototyping and implementation for multi-nuclear small animal imaging.

Journal of magnetic resonance open·2025
Same journal

Continuous-flow electron spin resonance microfluidics device with sub-nanoliter sample volume.

Journal of magnetic resonance open·2025
Same journal

Investigation of biomolecular dynamics by sensitivity-enhanced <sup>1</sup>H-<sup>2</sup>H CPMAS NMR using matrix-free dynamic nuclear polarization.

Journal of magnetic resonance open·2025
Same journal

Hyperpolarized [1-<sup>13</sup>C] pyruvate MRSI reveals a diet-dependent metabolic shift in ZSF1 rats.

Journal of magnetic resonance open·2025
Same journal

Evaluating metrics of spectral quality in nonuniform sampling.

Journal of magnetic resonance open·2025
See all related articles

Related Experiment Video

Updated: Nov 24, 2025

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery
07:02

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery

Published on: September 5, 2018

9.7K

Limits to flow detection in phase contrast MRI.

Nathan H Williamson1,2, Michal E Komlosh2,3, Dan Benjamini2,3

  • 1National Institute of General Medical Sciences, National Institutes of Health, Bethesda, MD, USA.

Journal of Magnetic Resonance Open
|December 21, 2020
PubMed
Summary
This summary is machine-generated.

This study reveals that in slow-flow conditions, pulsed gradient spin echo MRI signal depends on diffusive length scales, not velocity encoding. This allows for precise detection of very slow velocities (6 μm/s) in complex environments.

Keywords:
Diffusion tensor imaging (DTI)Glymphatic systemIntravoxel incoherent motion (IVIM)Magnetic resonance in porous mediaPulsed gradient spin echo (PGSE)interstitial fluid flowslow-flow regime

More Related Videos

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.7K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

746

Related Experiment Videos

Last Updated: Nov 24, 2025

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery
07:02

Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery

Published on: September 5, 2018

9.7K
Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.7K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

746

Area of Science:

  • Magnetic Resonance Imaging
  • Biophysics
  • Fluid Dynamics

Background:

  • Pulsed gradient spin echo (PGSE) signal behavior is complex in slow flow.
  • Displacements from flow comparable to diffusion alter signal characteristics.

Purpose of the Study:

  • To investigate PGSE signal behavior in the slow-flow regime.
  • To determine optimal parameters for phase contrast velocimetry in porous media.
  • To validate theoretical models with MRI experiments.

Main Methods:

  • Theoretical modeling of PGSE signal attenuation.
  • Development of phase contrast velocimetry protocols for slow flow.
  • PGSE echo planar imaging experiments on water flow in bulk and beadpack regions.

Main Results:

  • PGSE signal is dominated by attenuation, not oscillation, in slow flow.
  • Optimal PGSE parameter 'q' depends on diffusive length scale, not velocity encoding.
  • Minimum detectable mean velocity is on the order of μm/s.
  • Velocities as low as 6 μm/s were successfully detected.

Conclusions:

  • The study provides a theoretical framework for slow-flow velocimetry using PGSE.
  • MRI protocols and validation bridge the gap between porous media NMR and clinical MRI.
  • This work enables precise velocity measurements in complex biological and pre-clinical systems.