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

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.6K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.6K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

1.0K
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Introducing the SAGE study: a multimodal protocol for testing a GABAergic mechanism of age-related episodic memory impairment across the sexes.

BMJ neurology open·2026
Same author

Methylmalonic acid: a new target for Hadamard-edited MRS.

bioRxiv : the preprint server for biology·2026
Same author

Characterising the association between posterior parietal metabolite levels and cortical macrostructure in a cohort spanning childhood to adulthood.

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

User-Centered Diabetes Self-Management App (DiabAid Nexus) in Sub-Saharan Africa: Development and Usability Study.

Journal of medical Internet research·2026
Same author

Real-time AI integration for MR to detect artifacts and guide pulse sequence adaptations.

bioRxiv : the preprint server for biology·2026
Same author

Distinct sensory atypicalities bridge the gap between brain chemistry and motor dysfunction in autism.

Translational psychiatry·2026
Same journal

Liver Diffusion Weighted MRI: Effect of Iron Overload on Apparent Diffusion Coefficient.

NMR in biomedicine·2026
Same journal

In Vivo Assessment of Placental Structure and Perfusion in Late-Gestation Pregnancies and Their Association With Fetal Growth.

NMR in biomedicine·2026
Same journal

Reproducibility of Splanchnic Blood Flow Measured Using Phase-Contrast MRI.

NMR in biomedicine·2026
Same journal

Restriction-Weighted Q-Space Trajectory Imaging (ResQ): Toward Mapping Diffusion-Time Effects With Tensor-Valued Diffusion Encoding in Human Prostate Cancer Xenografts.

NMR in biomedicine·2026
Same journal

In Vivo Quantitative Detection of PEGylated Macromolecules by Magnetic Resonance Spectroscopy.

NMR in biomedicine·2026
Same journal

Metabolic Assessment in Human Pluripotent Stem Cell-Derived Cerebral Organoids Using HR-MAS NMR Spectroscopy.

NMR in biomedicine·2026
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism
13:56

The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism

Published on: November 19, 2014

20.6K

Gradient Scheme Optimization for PRESS-Localized Edited MRS Using Weighted Pathway Suppression.

Gizeaddis L Simegn1, Zahra Shams1, Saipavitra Murali-Manohar1

  • 1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

NMR in Biomedicine
|November 20, 2025
PubMed
Summary
This summary is machine-generated.

This study optimized magnetic resonance spectroscopy (MRS) gradient schemes to reduce out-of-voxel (OOV) artifacts. The new method significantly improves spectral quality by enhancing suppression of unwanted coherence transfer pathways (CTPs).

Keywords:
CTPsGAOOV artifactscoherence transfer pathwaysdiffusion weightingedited MRSgenetic algorithmoptimized gradient schemevolume‐based likelihood model

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.0K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.1K

Related Experiment Videos

Last Updated: Jan 10, 2026

The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism
13:56

The Use of Magnetic Resonance Spectroscopy as a Tool for the Measurement of Bi-hemispheric Transcranial Electric Stimulation Effects on Primary Motor Cortex Metabolism

Published on: November 19, 2014

20.6K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.0K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.1K

Area of Science:

  • Magnetic Resonance Spectroscopy
  • Biomedical Engineering
  • Neuroimaging

Background:

  • Out-of-voxel (OOV) artifacts are a significant challenge in PRESS-localized edited magnetic resonance spectroscopy (MRS).
  • These artifacts arise from insufficient crushing of unwanted coherence transfer pathways (CTPs), impacting metabolite quantification (e.g., GABA, glutathione).
  • Existing methods struggle with effective OOV artifact suppression, particularly in specific brain regions.

Purpose of the Study:

  • To design and implement an optimized gradient scheme for PRESS-localized edited MRS.
  • To enhance the suppression of OOV artifacts using a novel volume-based likelihood model.
  • To improve spectral quality and metabolite quantification in in vivo MRS studies.

Main Methods:

  • Developed a volume-based likelihood model to prioritize CTP suppression.
  • Integrated the model into the Dephasing optimization through coherence order pathway selection (DOTCOPS) framework.
  • Employed a genetic algorithm with a weighted dual-penalty cost function, considering hardware constraints for optimization.

Main Results:

  • Achieved an average 197% improvement in k-space crushing efficiency.
  • Demonstrated significant reduction of OOV artifacts across brain regions (PCC, thalamus, mPFC), particularly in OOV-susceptible areas.
  • Observed notable spectral improvements around 4.3 ppm with significant OOV artifact amplitude reduction (p < 0.001).

Conclusions:

  • The optimized DOTCOPS gradient scheme effectively reduces OOV artifacts in PRESS-localized edited MRS.
  • The volume-based likelihood model provides robust and region-agnostic performance for artifact suppression.
  • This advancement enhances spectral quality and reliability for in vivo MRS applications.