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

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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...
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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 slanted or...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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...
Chemical Shift: Internal References and Solvent Effects01:17

Chemical Shift: Internal References and Solvent Effects

In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
The internal reference compound generally used in NMR spectroscopy is tetramethylsilane (TMS). TMS is preferred because it is chemically inert, soluble in NMR solvents, and easily removable. Also, the highly shielded methyl protons in TMS yield an intense...
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.

You might also read

Related Articles

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

Sort by
Same author

Rare primary small intestinal infection: a case report of Mycobacterium kansasii enteropathy in an immunocompetent patient and literature review.

BMC infectious diseases·2026
Same author

Generation-Specific Heterosis in Lactation, Reproduction, and Blood Transcriptomic Profiles of Chinese Simmental × Holstein Crossbred Cows.

Animals : an open access journal from MDPI·2026
Same author

Nonlinear association between body mass index, perceived discrimination, and psychological sub-health problems among adolescents: risks of undernutrition versus overnutrition.

BMC psychology·2026
Same author

Population Structure Analysis and Candidate Gene Screening for Twinning Trait in Simmental Cattle.

Animals : an open access journal from MDPI·2026
Same author

Evaluation of dosimetric consistency between pre- and postoperative CT-guided noncoplanar template-assisted ¹²⁵I seed implantation in recurrent and metastatic thoracic tumors: a retrospective study.

PeerJ·2026
Same author

Automated identification of chronic obstructive pulmonary disease and asthma using impulse oscillometry combined with quantitative computed tomography parameters and radiomics features.

Journal of thoracic disease·2026

Related Experiment Video

Updated: Jul 9, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Decimative subspace-based parameter estimation methods of magnetic resonance spectroscopy based on prior knowledge.

Weiming Zeng1, Zhanwei Liang, Zhengyou Wang

  • 1Department of Computer Application, Jiangxi University of Finance and Economics, Nanchang, China. zwmcd@yahoo.com

Magnetic Resonance Imaging
|December 18, 2007
PubMed
Summary

New methods HTLSDSumPK and HTLSDStackPK improve magnetic resonance spectroscopy (MRS) signal parameter estimation. Incorporating prior knowledge and decimation enhances accuracy and robustness, especially in high noise environments.

More Related Videos

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

Related Experiment Videos

Last Updated: Jul 9, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

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

Area of Science:

  • Magnetic Resonance Spectroscopy (MRS)
  • Signal Processing
  • Biomedical Engineering

Background:

  • Parameter estimation of overlapping peaks in MRS signals is challenging.
  • Existing methods like Hankel Total Least Squares (HTLS) can be improved.

Purpose of the Study:

  • To develop novel subspace-based parameter estimation methods for MRS signals.
  • To enhance the performance of HTLS by incorporating prior knowledge and decimation.

Main Methods:

  • Introduced HTLS-PK, which integrates prior knowledge of signal poles into HTLS.
  • Proposed decimation to improve subspace-based methods for oversampled signals.
  • Developed two new methods: HTLSDSumPK and HTLSDStackPK, combining decimation and prior knowledge.

Main Results:

  • HTLSDSumPK, HTLSDStackPK, and HTLS-PK show slight improvements over HTLS at low noise.
  • At high noise levels, the prior-knowledge methods (especially HTLSDSumPK) demonstrate superior robustness, accuracy, and computational efficiency compared to HTLS.
  • HTLSDSumPK maintains advantages even with inaccuracies in prior knowledge.

Conclusions:

  • The novel methods HTLSDSumPK and HTLSDStackPK offer significant advancements in MRS signal parameter estimation.
  • Incorporating prior knowledge and decimation provides substantial benefits, particularly under noisy conditions.
  • HTLSDSumPK is a robust and accurate method for MRS parameter estimation, even with imperfect prior information.