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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.1K
Positron Emission Tomography01:29

Positron Emission Tomography

4.3K
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...
4.3K

You might also read

Related Articles

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

Sort by
Same author

Open-Geometry PET: Quantifying the Trade-off Between Time-of-Flight Resolution and Angular Coverage.

Physics in medicine and biology·2026
Same author

An Open Multi-Center Whole-Body FDG PET/CT Foundation Model for Tumor Segmentation.

ArXiv·2026
Same author

Influence of an AQP4 haplotype and sleep duration on early Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Direct Cardiac T1 Mapping with Subspace Modeling and Free-breathing Data Acquisition.

IEEE transactions on bio-medical engineering·2026
Same author

Scan-wise generalized PET denoising with contrastive adversarial learning.

Physics in medicine and biology·2026
Same author

Individualized Treatment Effect Inference of Head and Neck Cancer with Multimodal Data.

APSIPA Transactions on Signal and Information Processing·2026

Related Experiment Video

Updated: Aug 5, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K

Super-resolution in brain positron emission tomography using a real-time motion capture system.

Yanis Chemli1, Marc-André Tétrault2, Thibault Marin3

  • 1Gordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; LTCI, Télécom Paris, Institut Polytechnique de Paris, France.

Neuroimage
|March 28, 2023
PubMed
Summary

Super-resolution (SR) imaging enhances brain positron emission tomography (PET) resolution by using infrared cameras to track motion. This advanced technique improves visualization of small brain structures in both phantom and non-human primate studies.

Keywords:
3D brain PET imagingPET/CTReal timeReconstructionSuper-resolutionTracking

More Related Videos

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.0K
Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses
04:02

Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses

Published on: January 17, 2025

551

Related Experiment Videos

Last Updated: Aug 5, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.0K
Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses
04:02

Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses

Published on: January 17, 2025

551

Area of Science:

  • Medical Imaging
  • Neuroscience
  • Biophysics

Background:

  • Standard positron emission tomography (PET) imaging is limited by spatial resolution.
  • Motion artifacts significantly degrade PET image quality, hindering the visualization of fine anatomical details.
  • Accurate motion measurement is crucial for advanced image reconstruction techniques.

Purpose of the Study:

  • To develop and evaluate a super-resolution (SR) estimation framework for brain PET.
  • To leverage high-resolution infrared tracking for precise motion measurement in PET.
  • To improve the spatial resolution and visualization capabilities of brain PET imaging.

Main Methods:

  • Developed a temporal and spatial calibration for integrating an infrared tracking camera (NDI Polaris Vega) with a PET/CT scanner.
  • Implemented a list-mode Ordered Subset Expectation Maximization (OSEM) PET reconstruction algorithm incorporating real-time motion correction.
  • Acquired data using moving phantoms and non-human primate (NHP) models on a GE Discovery MI PET/CT scanner.

Main Results:

  • Super-resolution reconstruction yielded visibly increased spatial resolution compared to standard static PET acquisitions.
  • Improved visualization of small anatomical structures was achieved in both phantom and NHP studies.
  • Quantitative analyses (SSIM, CNR, line profiles) validated the enhanced resolution and accuracy of the SR method.

Conclusions:

  • Super-resolution imaging is feasible in brain PET by employing real-time motion tracking with high-resolution infrared cameras.
  • This SR framework significantly enhances the diagnostic potential of PET by improving image clarity.
  • The integration of optical motion tracking offers a robust solution for motion correction in dynamic PET studies.