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 Video

Updated: Jun 11, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Motion compensation for fully 4D PET reconstruction using PET superset data.

J Verhaeghe1, P Gravel, R Mio

  • 1Montreal Neurological Institute, McGill University, Montreal, Canada. jeroen.verhaeghe@mcgill.ca

Physics in Medicine and Biology
|July 6, 2010
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

Ab Initio Electron-Phonon-Coupling Theory of Elastic Helium-Atom Scattering.

Physical review letters·2025
Same author

Clinical Correlates of the PET-based Braak Staging Framework in Alzheimer's Disease.

The journal of prevention of Alzheimer's disease·2024
Same author

Hyponatraemia and the syndrome of inappropriate antidiuresis (SIAD) in cancer.

Endocrine oncology (Bristol, England)·2023
Same author

Viewpoint: Clinicians' Perspectives on How Disease Modifying Drugs for Alzheimer's Disease Impact Specialty Care.

The journal of prevention of Alzheimer's disease·2023
Same author

Commentary: Clinical Efficacy in Individual Patients Treated with Lecanemab.

The journal of prevention of Alzheimer's disease·2023
Same author

Editorial: Expanding the atn Framework to Further Personalize Therapies.

The journal of prevention of Alzheimer's disease·2023
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

Fully 4D PET image reconstruction can be improved by accounting for head motion. This study introduces a novel motion compensation method to enhance 4D PET image quality and accuracy in dynamic imaging.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Reconstruction

Background:

  • Fully 4D PET image reconstruction reduces spatiotemporal noise in dynamic imaging.
  • Head motion correction is currently unaddressed in 4D PET reconstruction, limiting clinical application.
  • Subject motion significantly impairs reconstruction accuracy across multiple time frames.

Purpose of the Study:

  • To develop and validate a motion compensation method for fully 4D PET image reconstruction.
  • To adapt existing 3D motion compensation strategies for 4D reconstruction.
  • To enable the clinical benefits of 4D PET algorithms in the presence of head movement.

Main Methods:

  • Developed a motion compensation method using an optical tracking system and PET superset data.

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

Related Experiment Videos

Last Updated: Jun 11, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

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

  • Histogrammed list-mode PET events into motion-compensated superset data.
  • Proposed time-dependent normalization modifications for 4D reconstruction algorithms using temporal basis functions.
  • Main Results:

    • Demonstrated the detrimental impact of head motion on fully 4D PET reconstruction using simulated and real HRRT data.
    • Showcased the efficacy of the proposed motion compensation and normalization modifications.
    • Improved individual PET image frames and parametric images from Patlak analysis for (18)F-FDG.

    Conclusions:

    • Subject head motion significantly degrades fully 4D PET image reconstruction quality.
    • The proposed motion compensation method and normalization scheme effectively mitigate motion artifacts.
    • This work enables the clinical translation of advanced 4D PET reconstruction techniques.