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 Experiment Videos

An automated iterative algorithm for the quantitative analysis of in vivo spectra based on the simplex optimization

R E Lenkinski1, T Allman, J D Scheiner

  • 1Department of Radiology, University of Pennsylvania, Philadelphia 19104.

Magnetic Resonance in Medicine
|June 1, 1989
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Simultaneous PML-IRIS after discontinuation of natalizumab in a patient with MS.

Neurology·2012
Same author

Keyhole chemical exchange saturation transfer.

Magnetic resonance in medicine·2012
Same author

Remission of progressive multifocal leukoencephalopathy and primary central nervous system lymphoma in an HIV-infected patient.

European journal of neurology·2007
Same author

A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors.

AJNR. American journal of neuroradiology·2006
Same author

RF tumour ablation: computer simulation and mathematical modelling of the effects of electrical and thermal conductivity.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group·2005
Same author

Agronomic and environmental impacts of a single application of heat-dried sludge on an Alfisol.

The Science of the total environment·2005

This study presents a simplex algorithm for analyzing in vivo NMR spectra. The algorithm reliably estimates metabolic parameters, aiding in the identification and monitoring of metabolic abnormalities.

Area of Science:

  • Biophysics
  • Biochemistry
  • Medical Imaging

Background:

  • In vivo Nuclear Magnetic Resonance (NMR) spectroscopy is crucial for identifying and monitoring metabolic abnormalities.
  • Accurate measurement of spectral parameters is essential for the reliability of in vivo NMR.
  • There is a need for robust algorithms to quantitatively estimate spectral parameters from in vivo NMR data.

Purpose of the Study:

  • To adapt and evaluate a simplex algorithm for fitting in vivo NMR spectral data in the frequency domain.
  • To assess the reliability and quantitative accuracy of the simplex algorithm for spectral parameter estimation.
  • To determine the algorithm's performance across different spectral data types and noise levels.

Main Methods:

  • An adaptation of the simplex algorithm was implemented on an IBM-PC AT compatible computer.

Related Experiment Videos

  • The algorithm was evaluated using simulated spectral data, a 31P NMR spectrum of normal calf muscle, and a 31P NMR spectrum from a pediatric brain tumor patient.
  • Varying levels of noise were added to the spectral data to assess algorithm robustness.

    • Main Results:

    • The simplex algorithm provides reliable estimates of peak areas when the signal-to-noise ratio is above 8:1 for phosphocreatine.
    • Overestimating peak linewidths improved the algorithm's convergence speed.
    • The algorithm converged more rapidly in the presence of moderate noise levels.

    Conclusions:

    • The described simplex algorithm offers a robust method for quantitative analysis of in vivo NMR spectra.
    • The algorithm's minimal user intervention requirement facilitates semi- or fully automated implementation.
    • This approach enhances the utility of in vivo NMR for metabolic research and clinical applications.