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

You might also read

Related Articles

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

Sort by
Same author

Advanced Generation Seed Orchard of <i>Abies alba</i> Mill. in Romania Combining Genetic Gain and Diversity.

Plants (Basel, Switzerland)·2026
Same author

Identifying and Categorizing Diagnostic Errors in Abdominal Imaging Using a Diagnostic Imaging-Specific Annotation Process.

Journal of the American College of Radiology : JACR·2026
Same author

Response to Wang et al., "Time as a Substantial Confounder in Evaluating Integrated Multidisciplinary Care for Advanced Cutaneous Squamous Cell Carcinoma".

Journal of the American Academy of Dermatology·2026
Same author

Mapping the facial nerve beyond the skull base: A comparative study of DESS and SPACE MRI sequences.

AJNR. American journal of neuroradiology·2026
Same author

Surveillance Imaging in Cutaneous Squamous Cell Carcinoma: A Retrospective Analysis Informing Surveillance Recommendations.

Research square·2026
Same author

Predictors of Long-Term Outcomes in Hypertrophic Cardiomyopathy: The NHLBI HCM Registry.

JAMA·2026
Same journal

Multi-Contrast Human Brain CEST MRI at 11.7 T: First In Vivo Demonstration.

Magnetic resonance in medicine·2026
Same journal

Suppression of Oscillation and Ghosting in RF-Spoiled Gradient-Echo-Based Dynamic Imaging.

Magnetic resonance in medicine·2026
Same journal

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp-Logan.

Magnetic resonance in medicine·2026
Same journal

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 2025

Measuring the Spin-Lattice Relaxation Magnetic Field Dependence of Hyperpolarized [1-13C]pyruvate
11:57

Measuring the Spin-Lattice Relaxation Magnetic Field Dependence of Hyperpolarized [1-13C]pyruvate

Published on: September 13, 2019

6.7K

A relaxometry method that emphasizes practicality and availability.

Bruno Madore1, Michael Jerosch-Herold1, Jr-Yuan George Chiou1

  • 1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Magnetic Resonance in Medicine
|July 25, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a practical MRI method for mapping T1 and T2 parameters, offering flexible scan times and high accuracy comparable to existing techniques. The new approach is readily available on most scanners, enhancing clinical utility.

Keywords:
parameter mappingrelaxometrysignal equation

More Related Videos

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry
11:19

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry

Published on: September 6, 2016

12.5K
Mechanical Control of Relaxation Using Intact Cardiac Trabeculae
07:51

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae

Published on: February 17, 2023

1.3K

Related Experiment Videos

Last Updated: Sep 3, 2025

Measuring the Spin-Lattice Relaxation Magnetic Field Dependence of Hyperpolarized [1-13C]pyruvate
11:57

Measuring the Spin-Lattice Relaxation Magnetic Field Dependence of Hyperpolarized [1-13C]pyruvate

Published on: September 13, 2019

6.7K
Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry
11:19

Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry

Published on: September 6, 2016

12.5K
Mechanical Control of Relaxation Using Intact Cardiac Trabeculae
07:51

Mechanical Control of Relaxation Using Intact Cardiac Trabeculae

Published on: February 17, 2023

1.3K

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Quantitative Imaging

Background:

  • Quantitative mapping of MRI parameters like T1 and T2 is crucial for diagnostics.
  • Existing methods often require specialized MRI sequences or lengthy scan times, limiting clinical applicability.
  • There is a need for practical, widely accessible methods for accurate MRI parameter mapping.

Purpose of the Study:

  • To develop and validate a novel, practical method for quantitative mapping of main MRI parameters (T1, T2, and M0).
  • To ensure joint mapping of MRI parameters for improved spatial alignment.
  • To offer flexible tradeoffs between scan time and image quality.

Main Methods:

  • The proposed method utilizes a multi-shot spin-echo (SE) echo-planar imaging (EPI) sequence.
  • Signal equations were derived, and solution strategies were developed.
  • Validation involved comparison with reference relaxometry methods in phantoms and in vivo imaging of 3 neuroradiology patients.

Main Results:

  • Bland-Altman analysis showed minimal bias and acceptable limits of agreement for T2 mapping compared to 2D SE.
  • T1 mapping demonstrated comparable mean relative error to reference methods (inversion-recovery SE and MOLLI).
  • The method allows for adjustable scan times through echo train length manipulation.

Conclusions:

  • The developed MRI method offers a practical and readily available alternative for quantitative T1 and T2 mapping.
  • Its performance is comparable to established relaxometry techniques.
  • The approach enhances the accessibility of quantitative MRI in clinical settings.