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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.3K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.

Network neuroscience (Cambridge, Mass.)·2026
Same author

3D Brachial Plexus Neurography With Variable-Rate Selective Excitation RF Pulses.

Journal of magnetic resonance imaging : JMRI·2026
Same author

A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Dysfunction in primate dorsolateral prefrontal area 46 affects motivation and anxiety.

Science (New York, N.Y.)·2025
Same author

Hippocampal perineuronal net degradation identifies prefrontal and striatal circuits involved in schizophrenia-like changes in marmosets.

Science advances·2025
Same author

The brain cortical similarity network: Development and sensitivity to early life stress in a rat model.

bioRxiv : the preprint server for biology·2025
Same journal

Feasibility and SNR Performance of Hyperpolarized <sup>129</sup>Xe Gas Exchange Imaging Using a Balanced SSFP Sequence.

Magnetic resonance in medicine·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
See all related articles

Related Experiment Video

Updated: Mar 31, 2026

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

23.5K

MR fingerprinting with simultaneous B1 estimation.

Guido Buonincontri1, Stephen J Sawiak2

  • 1Istituto Nazionale di Fisica Nucleare (INFN), sezione di Pisa, Largo B. Pontecorvo, Pisa (PI), Italy. guido.buonincontri@pi.infn.it.

Magnetic Resonance in Medicine
|October 29, 2015
PubMed
Summary
This summary is machine-generated.

Magnetic Resonance Fingerprinting (MRF) now estimates B1 field strength, improving T1 and T2 accuracy. This advanced MRF technique enhances quantitative MRI parameter estimation for better diagnostic imaging.

Keywords:
3DB1MRFT1T2fingerprintingrelaxometry

More Related Videos

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.7K
DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA
09:39

DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA

Published on: July 15, 2011

27.9K

Related Experiment Videos

Last Updated: Mar 31, 2026

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
08:35

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes

Published on: July 17, 2021

23.5K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.7K
DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA
09:39

DNA Fingerprinting of Mycobacterium leprae Strains Using Variable Number Tandem Repeat VNTR - Fragment Length Analysis FLA

Published on: July 15, 2011

27.9K

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative Imaging
  • Biophysical Parameter Estimation

Background:

  • Magnetic Resonance Fingerprinting (MRF) is a quantitative MRI technique.
  • Accurate estimation of physical parameters like T1 and T2 is crucial in MRI.
  • Previous MRF methods had limitations in B1 field estimation accuracy.

Purpose of the Study:

  • To extend MR fingerprinting (MRF) for simultaneous quantitative estimation of T1, T2, and B1 parameters.
  • To improve the accuracy of MRF by incorporating B1 field estimation.
  • To evaluate the performance of the extended MRF method in 2D and 3D acquisitions.

Main Methods:

  • Utilized steady-state free precession MRF with a Cartesian trajectory.
  • Introduced abrupt changes in flip angle to enhance B1 profile sensitivity.
  • Incorporated slice profile and B1 effects into the MRF dictionary for analysis.
  • Compared 2D and 3D acquisition results and explored accelerated 3D acquisition using retrospective undersampling.

Main Results:

  • MRF without B1 estimation resulted in >20% inaccuracy for T2 and B1.
  • Abrupt flip angle changes improved B1 map quality.
  • T1 and T2 values obtained with the new method agreed with spin echo measurements and were B1-independent.
  • View-sharing reconstruction maintained accuracy (<10% error) even with <10% k-space sampling in 3D data.

Conclusions:

  • The developed MRF method accurately measures T1, T2, and B1.
  • Including slice profile effects in the dictionary or using 3D acquisition reduces errors.
  • This extended MRF technique offers robust quantitative parameter estimation in MRI.