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

Estimation of component and parameter distributions in spectral analysis

F Turkheimer1, L Sokoloff, A Bertoldo

  • 1Laboratory of Cerebral Metabolism, National Institute of Mental Health, Bethesda, Maryland 20892, USA.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|November 11, 1998
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

Brain metabolic-functional (de)coupling from health to glioma dysfunction.

Communications biology·2025
Same author

Early alterations of functional connectivity, regional brain volumes and astrocyte markers in the beta-sitosterol beta-d-glucoside (BSSG) rat model of parkinsonism.

Experimental neurology·2024
Same author

Quantitative assessment of training effects using EksoGT® exoskeleton in Parkinson's disease patients: A randomized single blind clinical trial.

Contemporary clinical trials communications·2022
Same author

Transcriptomic and cellular decoding of functional brain connectivity changes reveal regional brain vulnerability to pro- and anti-inflammatory therapies.

Brain, behavior, and immunity·2022
Same author

DTI parameters in neonates with hypoxic-ischemic encephalopathy after total body hypothermia.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians·2020
Same author

Multishell Diffusion MRI-Based Tractography of the Facial Nerve in Vestibular Schwannoma.

AJNR. American journal of neuroradiology·2020

This study introduces a bootstrap resampling method to accurately estimate parameters from spectral analysis in dynamic PET studies. This technique corrects for noise and bias, improving the reliability of kinetic modeling for tracers like FDG and water.

Area of Science:

  • Nuclear medicine
  • Biomedical engineering
  • Quantitative imaging

Background:

  • Spectral analysis is crucial for extracting kinetic parameters from dynamic imaging data.
  • Estimating parameter distributions and correcting for noise and bias in single-dataset spectral analysis remains challenging.

Purpose of the Study:

  • To present a novel method for estimating component and parameter distributions using spectral analysis on a single dataset.
  • To apply bootstrap resampling for noise simulation and bias correction in spectral analysis.
  • To evaluate the method's performance in kinetic analysis of positron emission tomography (PET) dynamic studies.

Main Methods:

  • Utilized bootstrap resampling to simulate noise effects on computed spectra.
  • Applied selected bootstrap procedures to kinetic analysis of dynamic PET studies.

Related Experiment Videos

  • Validated the method's small sample properties using Monte Carlo simulations.
  • Assessed the technique's minimal assumptions regarding measurement noise.

    • Main Results:

    • The bootstrap resampling method effectively estimates parameter distributions from spectral analysis.
    • The technique corrects for bias introduced by noise in the data.
    • Demonstrated reliable kinetic modeling with minimal assumptions about noise characteristics.
    • Illustrated advantages and limitations using time-activity curves for [18F]fluorodeoxyglucose and [15O]-labeled water.

    Conclusions:

    • Bootstrap resampling offers a robust approach for spectral analysis in quantitative imaging.
    • The method enhances the reliability of tracer kinetic modeling in PET studies.
    • Provides a valuable tool for deriving inferences from dynamic PET data with improved accuracy.