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

Positron Emission Tomography01:29

Positron Emission Tomography

4.9K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Oxalic acid induced synthesis of renewable Ce-MnFe<sub>2</sub>O<sub>4</sub> nanocatalysts with hybrid crystallinity for enhanced ozone decomposition.

Environmental research·2025
Same author

A Cloud Detection Network Based on Adaptive Laplacian Coordination Enhanced Cross-Feature U-Net.

International journal of neural systems·2024
Same author

Insights into handling and delivery of Y-90 radioembolization therapies.

Frontiers in nuclear medicine·2024
Same author

A two-branch cloud detection algorithm based on the fusion of a feature enhancement module and Gaussian mixture model.

Mathematical biosciences and engineering : MBE·2023
Same author

The Scientific and Clinical Case for Reviewing Diagnostic Radiopharmaceutical Extravasation Long-Standing Assumptions.

Frontiers in medicine·2021
Same author

A data-driven respiratory motion estimation approach for PET based on time-of-flight weighted positron emission particle tracking.

Medical physics·2020

Related Experiment Video

Updated: Aug 30, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

5.7K

Data-driven head motion correction for PET using time-of-flight and positron emission particle tracking techniques.

Tasmia Rahman Tumpa1,2, Shelley N Acuff1, Jens Gregor2

  • 1Molecular Imaging & Translational Research, University of Tennessee Graduate School of Medicine, Knoxville, TN, United States of America.

Plos One
|August 31, 2022
PubMed
Summary

This study introduces an automated method for head motion correction in Positron Emission Tomography (PET) scans. The time-of-flight weighted positron emission particle tracking (TOF-PEPT) algorithm corrects raw data, improving diagnostic accuracy.

More Related Videos

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
09:03

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET

Published on: October 22, 2019

10.2K
A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.6K

Related Experiment Videos

Last Updated: Aug 30, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

5.7K
Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
09:03

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET

Published on: October 22, 2019

10.2K
A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.6K

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Image Processing

Background:

  • Patient head motion during Positron Emission Tomography (PET) scans is a significant challenge impacting diagnostic accuracy.
  • Current methods like physical restraints or external tracking systems have limitations, and data-driven approaches often require manual intervention.
  • Developing automated, data-driven solutions for motion correction is crucial for robust brain PET imaging.

Purpose of the Study:

  • To introduce a fully automated, data-driven algorithm for detecting and correcting head motion in PET imaging.
  • To enable retroactive processing of raw listmode data for motion correction.
  • To improve the reliability and diagnostic quality of brain PET scans affected by patient movement.

Main Methods:

  • Utilized a previously established time-of-flight (TOF) weighted positron emission particle tracking (PEPT) algorithm to identify motion-free frames.
  • Employed weak radioactive point sources on glasses for estimating rigid transformations and registering static frames to a reference.
  • Corrected raw event data by tracking point sources in listmode data for subsequent image reconstruction.

Main Results:

  • The automated TOF-PEPT algorithm successfully detected and corrected head motion in five patient studies.
  • Event-based correction produced images visually free of motion artifacts, comparable to a gold-standard frame-based image registration method.
  • Quantitative analysis showed high Jaccard similarity indices (85-98%) between corrected and reference frames, indicating robust performance.

Conclusions:

  • A fully automated, data-driven method for head motion detection and correction in PET raw listmode data has been successfully developed.
  • The TOF-PEPT approach is easy to implement, offers high temporal resolution, and provides reliable post hoc correction of motion artifacts.
  • This methodology enhances the assessment and correction of patient motion during PET imaging, improving overall data quality.