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

9.7K
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...
9.7K
Atomic Nuclei: Magnetic Resonance01:05

Atomic Nuclei: Magnetic Resonance

1.2K
The number of nuclear spins aligned in the lower energy state is slightly greater than those in the higher energy state. In the presence of an external magnetic field, as the spins precess at the Larmor frequency, the excess population results in a net magnetization oriented along the z axis. When a pulse or a short burst of radio waves at the Larmor frequency is applied along the x axis, the coupling of frequencies causes resonance and flips the nuclear spins of the excess population from the...
1.2K
Nuclear Magnetic Resonance (NMR): Overview01:07

Nuclear Magnetic Resonance (NMR): Overview

7.0K
Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
NMR spectroscopy generates a spectrum where the characteristic absorption frequencies of the sample are...
7.0K
Resonance02:52

Resonance

65.7K
The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N-O and N=O bonds.
65.7K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

283
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
283
Fixed Action Patterns01:06

Fixed Action Patterns

17.7K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.7K

You might also read

Related Articles

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

Sort by
Same author

A simple liquid state <sup>1</sup>H NMR measurement to directly determine the surface hydroxyl density of porous silica.

Chemical communications (Cambridge, England)·2021
Same author

Characterizing pore-scale structure-flow correlations in sedimentary rocks using magnetic resonance imaging.

Physical review. E·2021
Same author

In Situ Chemically-Selective Monitoring of Multiphase Displacement Processes in a Carbonate Rock Using 3D Magnetic Resonance Imaging.

Transport in porous media·2020
Same author

Identification of sampling patterns for high-resolution compressed sensing MRI of porous materials: 'learning' from X-ray microcomputed tomography data.

Journal of microscopy·2019
Same author

Optimising sampling patterns for bi-exponentially decaying signals.

Magnetic resonance imaging·2018
Same author

Accelerating the estimation of 3D spatially resolved T<sub>2</sub> distributions.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2018
Same journal

Localization-driven exchange contrast in diffusion exchange spectroscopy.

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

4.5 Tesla superconducting miniature magnet in liquid nitrogen.

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

Folding and unfolding dynamics of a DNA aptamer studied by heteronuclear <sup>1</sup>H-<sup>13</sup>C correlation zz-exchange spectroscopy.

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

Multi-spin control from one-spin pulses.

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

Altering MRI rotating frame relaxations by changing the truncation level of Hyperbolic Secant pulse.

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

Effects of proton exchange on the lifetimes of long-lived states in aliphatic chains.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.1K

Optimising magnetic resonance sampling patterns for parametric characterisation.

A Reci1, A J Sederman1, L F Gladden1

  • 1Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|July 14, 2018
PubMed
Summary
This summary is machine-generated.

Optimizing Nuclear Magnetic Resonance (NMR) sampling patterns using Cramér-Rao Lower Bound (CRLB) theory significantly reduces experimental acquisition time. This method enhances parameter estimation accuracy for lognormal distributions, as demonstrated in emulsion droplet size analysis.

Keywords:
Cramér–Rao Lower Bound theoryEmulsion droplet size distributionLognormal distributionsPFG NMR diffusionSampling pattern

More Related Videos

Quantifying Mixing using Magnetic Resonance Imaging
07:33

Quantifying Mixing using Magnetic Resonance Imaging

Published on: January 25, 2012

11.4K
Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications
05:09

Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications

Published on: February 2, 2024

1.8K

Related Experiment Videos

Last Updated: Feb 7, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.1K
Quantifying Mixing using Magnetic Resonance Imaging
07:33

Quantifying Mixing using Magnetic Resonance Imaging

Published on: January 25, 2012

11.4K
Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications
05:09

Author Spotlight: Magnetic-Based Cell Patterning Method for High-Throughput Biomedical Applications

Published on: February 2, 2024

1.8K

Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Statistical Modeling
  • Experimental Design

Background:

  • Efficient data acquisition is crucial for improving parameter estimation and reducing experimental time in scientific studies.
  • Lognormal distributions are frequently employed to model various physical parameters in NMR, including relaxation times and diffusion coefficients.
  • Optimal sampling strategies are essential for maximizing the information gained from experimental data.

Purpose of the Study:

  • To develop and validate an optimal sampling pattern design method for Nuclear Magnetic Resonance (NMR) applications.
  • To apply Cramér-Rao Lower Bound (CRLB) theory for optimizing sampling points to accurately characterize lognormal distributions.
  • To experimentally demonstrate the efficacy of the proposed method in reducing acquisition time and improving parameter estimation accuracy.

Main Methods:

  • Utilizing Cramér-Rao Lower Bound (CRLB) theory to determine optimal sampling points for parameter estimation.
  • Applying the developed method to pulsed field gradient (PFG) NMR diffusion experiments for emulsion droplet size distribution analysis.
  • Conducting sensitivity analyses of CRLB theory and evaluating its stability at low signal-to-noise ratios.

Main Results:

  • The proposed sampling optimization method, based on CRLB theory, achieved experimental results with less than 5% deviation from theoretical predictions.
  • CRLB theory demonstrated stability and reliability even at signal-to-noise ratios as low as approximately 10.
  • Experimental acquisition time was typically reduced by a factor of 3 compared to conventional constant gradient increment approaches.

Conclusions:

  • The CRLB-based method provides an effective strategy for optimizing sampling patterns in NMR experiments, leading to significant reductions in acquisition time.
  • The methodology is adaptable to various distribution models beyond lognormal and can be applied to different experimental design aspects.
  • This approach enhances the efficiency and accuracy of parameter estimation in NMR, with broad applicability in scientific research.