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

Strategies to improve neuroreceptor parameter estimation by linear regression analysis.

Masanori Ichise1, Hiroshi Toyama, Robert B Innis

  • 1Molecular Imaging Branch, National Institutes of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA. masanori.ichise@nih.gov

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|October 9, 2002
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

Association of 18F-fluorodeoxyglucose uptake with cardiac events in cardiac sarcoidosis during outpatient follow-up after immunosuppression.

PloS one·2026
Same author

Phantom-based optimization of [<sup>18</sup>F]fluciclovine neuro-oncology imaging on a high-resolution dedicated head PET system: dual-pathway reconstruction protocols.

Annals of nuclear medicine·2026
Same author

VR-based path integration predicts individual risk of rapid cortical decline: a one-year longitudinal study in cognitively unimpaired adults.

Alzheimer's research & therapy·2026
Same author

Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study.

EJNMMI physics·2026
Same author

Serotonin Transporter Distribution in the Brainstem of Multiple-System Atrophy-Parkinsonian Type: Insights from Pathology and <sup>123</sup>I-FP-CIT SPECT Findings.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same author

Virtual reality navigation for the early detection of Alzheimer's disease.

Frontiers in aging neuroscience·2025

Three new linear methods, including multilinear analysis (MA1, MA2) and total least squares (TLS), improve neuroreceptor distribution volume estimates from PET scans. MA1 offers the best bias reduction for suitable tracers, while MA2 is optimal for slow kinetics.

Area of Science:

  • Nuclear medicine
  • Radiopharmaceutical science
  • Pharmacokinetics

Background:

  • Accurate estimation of neuroreceptor distribution volume (V) is crucial for understanding brain function and disease.
  • Logan graphical analysis (GA) is a common method, but can be affected by noise and data selection.
  • Alternative linear methods aim to improve the accuracy and reliability of V estimates.

Purpose of the Study:

  • To evaluate three alternative linear methods (GA with total least squares (TLS), multilinear analysis 1 (MA1), and multilinear analysis 2 (MA2)) for estimating neuroreceptor distribution volume (V).
  • To compare the performance of these methods against traditional Logan graphical analysis (GA) using simulated and real positron emission tomography (PET) data.
  • To assess the impact of tracer kinetics and noise on the accuracy and variability of the V estimates.

Related Experiment Videos

Main Methods:

  • Evaluation of GA using TLS, MA1, and MA2 with simulated and actual PET data from two receptor tracers: [(18)F]FCWAY and [(11)C]MDL 100,907.
  • Analysis of bias and variability introduced by noise in the different graphical analysis methods.
  • Assessment of method performance based on tracer kinetics and the accurate identification of the linearity phase (t*).

Main Results:

  • All three methods (TLS, MA1, MA2) reduced noise-induced bias in V estimates compared to GA, though with increased variability.
  • MA1 demonstrated the most significant bias reduction, followed by MA2 and then TLS.
  • Methods relying on a specific data subset (GA, TLS, MA1) showed underestimation for slow-kinetic tracers like [(11)C]MDL 100,907 due to premature t* selection.
  • MA2 offered a favorable balance of low bias and computational efficiency for slow-kinetic tracers.

Conclusions:

  • MA1 is recommended for tracers with kinetics allowing accurate t* identification within the study duration.
  • MA2 provides a robust alternative for tracers with slow kinetics, offering reduced bias while maintaining computational simplicity for pixelwise analysis.
  • These noniterative methods enhance the efficiency of parameter estimation in neuroreceptor imaging studies.