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

Dead time correction and counting statistics for positron tomography.

B M Mazoyer, M S Roos, R H Huesman

    Physics in Medicine and Biology
    |May 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

    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

    Performance of the Tachyon Time-of-Flight PET Camera.

    IEEE transactions on nuclear science·2015
    Same author

    The cortical representation of speech.

    Journal of cognitive neuroscience·2013
    Same author

    A detector response function design in pinhole SPECT including geometrical calibration.

    Physics in medicine and biology·2013
    Same author

    Effects of temporal modelling on the statistical uncertainty of spatiotemporal distributions estimated directly from dynamic SPECT projections.

    Physics in medicine and biology·2002
    Same author

    Theoretical study of lesion detectability of MAP reconstruction using computer observers.

    IEEE transactions on medical imaging·2001
    Same author

    Kinetic analysis of 125I-iodorotenone as a deposited myocardial flow tracer: comparison with 99mTc-sestamibi.

    Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2001
    Same journal

    Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

    Physics in medicine and biology·2026
    Same journal

    Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

    Physics in medicine and biology·2026
    Same journal

    Technical Note: Real-Time MLC Control and Latency Measurement Optimization with External Verification.

    Physics in medicine and biology·2026
    Same journal

    Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

    Physics in medicine and biology·2026
    Same journal

    Deep learning-based dose prediction to enhance planning efficiency in cervical brachytherapy with hybrid applicators.

    Physics in medicine and biology·2026
    Same journal

    Corrigendum: Referenceless MR thermometry-a comparison of five methods (2017<i>Phys. Med. Biol</i>.<b>62</b>1-16).

    Physics in medicine and biology·2026
    See all related articles

    Accurate dynamic positron emission tomography (PET) requires correcting for event loss caused by dead time. This study presents a dead time correction model that significantly improves accuracy in patient studies.

    Area of Science:

    • Medical Imaging
    • Nuclear Medicine
    • Biophysics

    Background:

    • Dynamic Positron Emission Tomography (PET) is susceptible to event loss due to instrumental dead time.
    • Accurate quantification in dynamic PET studies is crucial for reliable patient diagnoses.

    Purpose of the Study:

    • To develop and validate a dead time correction model for dynamic PET imaging.
    • To assess the impact of dead time on quantitative analysis and statistical accuracy.

    Main Methods:

    • A paralysing dead time model was employed to characterize tomograph behavior.
    • The correction was applied to projection data and region of interest (ROI) analysis.
    • Formulae for covariances between corrected data and ROI counts were established.

    Related Experiment Videos

    Main Results:

    • The dead time correction factor reached 1.8 at 180,000 events/s.
    • At 180,000 events/s, the model predicted variance was over 10 times higher than Poisson statistics.
    • Experimental verification confirmed the statistical predictions.

    Conclusions:

    • Dead time correction is essential for accurate dynamic PET studies.
    • Failure to apply this correction can lead to significant errors, e.g., 25% in myocardial flow.
    • The developed model enhances the reliability of quantitative PET analysis.