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

Deletion of GPR39 Prevents Pulmonary Arterial Hypertension by Attenuating Hypoxia-Induced Aberrant Signaling.

bioRxiv : the preprint server for biology·2026
Same author

Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.

Network neuroscience (Cambridge, Mass.)·2026
Same author

3D Brachial Plexus Neurography With Variable-Rate Selective Excitation RF Pulses.

Journal of magnetic resonance imaging : JMRI·2026
Same author

15-Hydroxyeicosatetraenoic Acid and GPR39 Together Orchestrate Coronary Autoregulation: A Comprehensive Metabolomic Analysis.

bioRxiv : the preprint server for biology·2026
Same author

A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Selective Pharmacological Blockade of GPR39 Markedly Reduces No Reflow and Infarct Volumes in a Rat Model of Acute Myocardial Infarction.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Apr 6, 2026

MRI and PET in Mouse Models of Myocardial Infarction
10:46

MRI and PET in Mouse Models of Myocardial Infarction

Published on: December 19, 2013

12.5K

Combining MRI with PET for partial volume correction improves image-derived input functions in mice.

Eleanor Evans1, Guido Buonincontri2, David Izquierdo3

  • 1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, UK, CB2 0QQ ( ee244@cam.ac.uk ).

IEEE Transactions on Nuclear Science
|July 28, 2015
PubMed
Summary

Accurate kinetic modeling in mice using dynamic PET requires an arterial input function (AIF). A new geometric transfer matrix (GTM) method improved image-derived AIFs by reducing tissue contamination, leading to more realistic kinetic parameters.

Keywords:
Arterial input functionGeometric transfer matrixMRIpartial volume correctionsmall animal PET

More Related Videos

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

12.9K
Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
09:18

Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models

Published on: February 3, 2026

919

Related Experiment Videos

Last Updated: Apr 6, 2026

MRI and PET in Mouse Models of Myocardial Infarction
10:46

MRI and PET in Mouse Models of Myocardial Infarction

Published on: December 19, 2013

12.5K
Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
10:35

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

12.9K
Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
09:18

Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models

Published on: February 3, 2026

919

Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Pharmacokinetics

Background:

  • Dynamic PET imaging requires accurate arterial input functions (AIFs) for kinetic modeling.
  • Invasive AIF measurement is challenging in murine studies due to small blood volumes.
  • Image-derived AIFs (IDIFs) from PET are prone to partial volume and spillover effects.

Purpose of the Study:

  • To apply the geometric transfer matrix (GTM) method for partial volume correction (PVC) to improve IDIFs in mouse myocardial infarction (MI) studies.
  • To assess the impact of GTM PVC on kinetic modeling and differentiate between treated and untreated MI groups.

Main Methods:

  • Applied GTM PVC to 12 mice with 18F-FDG PET/CT, including 6 treated for MI.
  • Utilized high-resolution MRI to segment mouse hearts into five regions for GTM analysis.
  • Convolved segmented tissue signals with the PET scanner's point spread function and performed non-linear fitting.

Main Results:

  • GTM PVC successfully reduced spillover contamination in the IDIF compared to standard methods.
  • GTM-derived IDIFs yielded more realistic kinetic parameters (Ki).
  • Significantly different Ki values (p<0.05) were observed between treated and untreated MI groups.

Conclusions:

  • GTM PVC is an effective method for deriving accurate IDIFs in murine dynamic PET studies.
  • This improved accuracy enables better kinetic modeling and differentiation of treatment effects in MI.
  • GTM PVC enhances the utility of PET imaging for preclinical cardiovascular research.