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

Atomic Nuclei: Types of Nuclear Relaxation01:28

Atomic Nuclei: Types of Nuclear Relaxation

1.1K
Nuclear relaxation restores the equilibrium population imbalance and can occur via spin–lattice or spin–spin mechanisms, which are first-order exponential decay processes.
In spin–lattice or longitudinal relaxation, the excited spins exchange energy with the surrounding lattice as they return to the lower energy level. Among several mechanisms that contribute to spin–lattice relaxation, magnetic dipolar interactions are significant. Here, the excited nucleus transfers...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Effect of Nd: YAG Laser Capsulotomy Size on Visual Acuity and Posterior Segment Outcomes: A 6-Months Follow-Up Study.

Mymensingh medical journal : MMJ·2026
Same author

Comparing skeletal and dentoalveolar effects of fixed palatal crib and bonded spurs in early management of anterior open bite associated with non-nutritive sucking habits: a randomized clinical trial.

European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry·2025
Same author

Bridging gaps in geriatric oral health.

British dental journal·2025
Same author

Molecular characterization of circulating infectious bursal disease viruses in chickens from different Egyptian governorates during 2023.

Virology journal·2024
Same author

Multistoried woodlot based agroforestry system for improved resource utilization and incomes for farmer.

Heliyon·2024
Same author

Comparative Efficacy of Levosalbutamol and Racemic Salbutamol in the Treatment of Acute Exacerbation of Asthma.

Mymensingh medical journal : MMJ·2023

Related Experiment Video

Updated: Apr 23, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

18.6K

Magnetic Resonance Imaging Estimation of Longitudinal Relaxation Rate Change (ΔR1) in Dual Gradient Echo Sequences

H Bagher-Ebadian1, S P Nejad-Davarani1, M M Ali1

  • 1Physics Dept., Oakland University, Rochester, MI 48309 and Dept. Nuclear Engineering, Shiraz University, Shiraz; Siamak P. Nejad-Davarani - Dept. Neurology, Henry Ford Hospital and Dept. Biomedical Eng. University of Michigan, Ann Arbor; Meser M. Ali - Dept. Radiology, Henry Ford Hospital, Stephen L. Brown - Dept. Radiation Oncology, Henry Ford Hospital, Malek Makki, - Dept. Diagnostic Imaging, University Children Hospital of Zurich, Zurich, Switzerland, Quan Jiang - Dept. Neurology, Henry Ford Hospital; Douglas. C. Noll - Dept. Biomedical Engineering, University of Michigan, Ann Arbor, James R. Ewing Dept. Neurology, Henry Ford Hospital, Dept. Neurology, Wayne State University., and Dept. of Physics, Oakland University.

Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks
|October 7, 2014
PubMed
Summary
This summary is machine-generated.

An Adaptive Neural Network (ANN) accurately estimates contrast agent (CA) concentration in fast Magnetic Resonance Imaging (MRI) scans. This novel method shows high correlation with the gold standard Look-Locker technique, improving MRI analysis.

More Related Videos

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

16.7K
Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments
09:25

Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments

Published on: November 1, 2024

2.2K

Related Experiment Videos

Last Updated: Apr 23, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

18.6K
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

16.7K
Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments
09:25

Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments

Published on: November 1, 2024

2.2K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Medicine
  • Biomedical Engineering

Background:

  • Estimating contrast agent (CA) concentration in fast Magnetic Resonance Imaging (MRI) pulse sequences like Dual Gradient Echo (DGE) is difficult.
  • Accurate CA concentration measurement is crucial for quantitative MRI analysis.

Purpose of the Study:

  • To develop and validate an Adaptive Neural Network (ANN) for estimating CA concentration in DGE MRI.
  • To compare the ANN's performance against the established Look-Locker (LL) technique.

Main Methods:

  • An ANN was trained using CA concentration maps from the LL technique as the gold standard.
  • Features were extracted from DGE MRI data to train the ANN for voxel-based time-trace estimation.
  • K-Fold Cross-Validation (KFCV) with 60 folds and 10500 samples was used for training and testing on Fisher rat data.

Main Results:

  • The optimized ANN (4:7:5:1 architecture) produced CA concentration maps highly correlated (r=0.89, P < 0.0001) with LL estimations.
  • The ANN demonstrated excellent overall performance with an Area Under the Receiver Operator Characteristic Curve (AUROC) of 0.870.

Conclusions:

  • The developed ANN provides a reliable and accurate method for estimating CA concentration in fast DGE MRI sequences.
  • This approach enhances the quantitative analysis capabilities of rapid MRI techniques.