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

Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...

You might also read

Related Articles

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

Sort by
Same author

The case for AI-driven cancer clinical trials - The efficacy arm in silico.

Biochimica et biophysica acta. Reviews on cancer·2021
Same author

Low-frequency dielectric response of a periodic array of charged spheres in an electrolyte solution: The simple cubic lattice.

Physical review. E·2019
Same author

High-frequency dielectric response of a spheroidal particle with a thin double layer.

Physical review. E·2018
Same author

Low frequency complex dielectric (conductivity) response of dilute clay suspensions: Modeling and experiments.

Journal of colloid and interface science·2018
Same author

Low-frequency dielectric response of charged oblate spheroidal particles immersed in an electrolyte.

Physical review. E·2017
Same author

A more accurate estimate of T2 distribution from direct analysis of NMR measurements.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2013
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: May 25, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the &#181;s-ms Timescale
08:09

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

Continuous moment estimation of CPMG data using Mellin transform.

Lalitha Venkataramanan1, Tarek M Habashy, Denise E Freed

  • 1Schlumberger-Doll Research, One Hampshire Street, Cambridge, MA 02139, USA. lvenkataramanan@slb.com

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|January 24, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to accurately estimate moments of transverse relaxation time T(2) from Carr-Purcell-Meiboom-Gill (CPMG) data in inhomogeneous fields, improving petro-physical property calculations.

More Related Videos

Hybrid Ensemble and Single-molecule Assay to Image the Motion of Fully Reconstituted CMG
10:11

Hybrid Ensemble and Single-molecule Assay to Image the Motion of Fully Reconstituted CMG

Published on: July 26, 2024

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Related Experiment Videos

Last Updated: May 25, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the &#181;s-ms Timescale
08:09

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

Hybrid Ensemble and Single-molecule Assay to Image the Motion of Fully Reconstituted CMG
10:11

Hybrid Ensemble and Single-molecule Assay to Image the Motion of Fully Reconstituted CMG

Published on: July 26, 2024

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Geophysics
  • Petroleum Engineering

Background:

  • Estimating transverse relaxation time (T2) moments is crucial for characterizing fluids and porous media.
  • Conventional methods for moment estimation in inhomogeneous fields can be inaccurate and have high variance.

Purpose of the Study:

  • To develop a theoretical basis for directly estimating T2 moments from CPMG data in inhomogeneous fields.
  • To provide a more accurate and lower-variance method for calculating these moments.

Main Methods:

  • Utilized Mellin transformation of measured CPMG data to obtain T2 moments .
  • Applied the method to simulated data to demonstrate its performance.

Main Results:

  • The proposed method directly estimates T2 moments from CPMG data in inhomogeneous fields.
  • The obtained moments () are more accurate and have smaller variance than conventional methods.
  • The method shows potential for various NMR applications in characterizing fluids and porous media.

Conclusions:

  • This novel method offers a more precise approach to calculating T2 moments.
  • It enhances the computation of petro-physical and fluid properties of hydrocarbons.
  • The technique is applicable to diverse NMR analyses in inhomogeneous environments.