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

You might also read

Related Articles

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

Sort by
Same author

Performance and Mechanism Analysis of an Anti-Skid Wear Layer of Active Slow-Release Ice-Snow Melting Modified by Gels.

Gels (Basel, Switzerland)·2025
Same author

Jasmonic Acid Activates Transcription Factor SlMYB13 to Enhance Cold Resistance in Tomato.

Plant, cell & environment·2025
Same author

Multi-model risk assessment of pesticide residues in seasonal fruits based on integrated targeted/non-targeted screening: Implications for vulnerable populations.

Food chemistry: X·2025
Same author

Enhanced removal rate of ARGs by inoculating microbial agents during the composting cooling period.

Environmental research·2025
Same author

PEG Precipitation Followed by Albumin Depletion for Plasma Proteomics Analysis.

Analytical chemistry·2025
Same author

Research trends of facial nerve injury after cerebellopontine angle tumor: CiteSpace-based bibliometric analysis.

Frontiers in neurology·2025

Related Experiment Video

Updated: May 1, 2026

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
07:52

Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

Published on: July 10, 2019

13.7K

Patlak image estimation from dual time-point list-mode PET data.

Wentao Zhu, Quanzheng Li, Bing Bai

    IEEE Transactions on Medical Imaging
    |April 9, 2014
    PubMed
    Summary

    Dual time-point Positron Emission Tomography (PET) analysis using Patlak modeling offers superior tumor detection compared to standard SUV metrics. This advanced method enhances diagnostic accuracy in whole-body dynamic PET imaging.

    More Related Videos

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

    Published on: November 7, 2025

    548
    Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
    14:21

    Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

    Published on: August 6, 2013

    18.0K

    Related Experiment Videos

    Last Updated: May 1, 2026

    Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories
    07:52

    Automated Rat Single-Pellet Reaching with 3-Dimensional Reconstruction of Paw and Digit Trajectories

    Published on: July 10, 2019

    13.7K
    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

    Published on: November 7, 2025

    548
    Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
    14:21

    Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

    Published on: August 6, 2013

    18.0K

    Area of Science:

    • Nuclear Medicine
    • Medical Imaging
    • Radiochemistry

    Background:

    • Dynamic Positron Emission Tomography (PET) imaging provides valuable functional information.
    • Traditional analysis often relies on Standardized Uptake Values (SUV), which may have limitations in dynamic studies.
    • Dual time-point imaging offers a snapshot of tracer kinetics at two distinct times.

    Purpose of the Study:

    • To evaluate the efficacy of Patlak modeling using dual time-point PET data for quantitative analysis.
    • To compare the performance of Patlak analysis against fractional changes in SUV (%DSUV) for tumor detection.
    • To assess the utility of this approach for whole-body dynamic PET studies.

    Main Methods:

    • Developed a voxel-wise Patlak modeling technique utilizing two frames of dual time-point PET data.
    • Employed a penalized likelihood method with spatially variant weighting for robust parameter estimation.
    • Assessed performance using Cramer-Rao analysis, Monte Carlo simulations, and Receiver Operating Characteristic (ROC) curves.

    Main Results:

    • Patlak analysis demonstrated superior performance in differentiating tumors from background compared to %DSUV.
    • Area under the ROC curve (AUC) was significantly higher for Patlak modeling across various dynamic datasets.
    • The method effectively utilizes list-mode data for direct parametric image estimation.

    Conclusions:

    • Patlak analysis is a powerful tool for dual time-point whole-body dynamic PET studies.
    • This approach offers improved tumor detection capabilities over conventional %DSUV metrics.
    • The findings support the clinical application of Patlak modeling for enhanced diagnostic accuracy in PET imaging.