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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Positron Emission Tomography01:29

Positron Emission Tomography

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 being...

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Related Experiment Video

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In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats
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Mapping changes in mouse brain metabolism with PET/CT.

Andy Welch1, Marco Mingarelli, Gernot Riedel

  • 1School of Medicine and Dentistry, University of Aberdeen, Aberdeen, United Kingdom; and.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|September 7, 2013
PubMed
Summary
This summary is machine-generated.

Optimizing preclinical (18)F-FDG PET/CT image processing enhances detection of mouse brain metabolism changes. Appropriate techniques improve sensitivity and reliability for identifying metabolic shifts.

Keywords:
18F-FDGPETbrainmousepreclinical

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Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level

Published on: January 24, 2025

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Metabolic Research

Background:

  • Preclinical imaging, specifically (18)F-FDG PET/CT, presents challenges and opportunities for studying mouse brain metabolism.
  • Optimizing image processing is crucial for accurate and reliable metabolic measurements in vivo.

Purpose of the Study:

  • To investigate and optimize image processing techniques for measuring changes in mouse brain metabolism using preclinical (18)F-FDG PET/CT.
  • To evaluate the effects of scan length, image registration, quantification methods, and smoothing on metabolic measurements.

Main Methods:

  • 12 wild-type mice were scanned at 6, 10, and 14 months of age.
  • Image processing involved varying scan lengths, registration to PET or CT templates, and analysis via Statistical Parametric Mapping (SPM) or regions of interest (ROIs).
  • Data were analyzed using standardized uptake values, percentage injected dose per gram, or whole-brain normalized activity.

Main Results:

  • Image normalization to whole-brain activity significantly improved the detection of regional metabolic changes.
  • CT-based image registration was more effective than PET-based registration for detecting metabolic changes.
  • SPM analysis was more sensitive and region-specific than ROI analysis for identifying age-dependent metabolic declines.
  • Longer scan times offered minimal benefit, while uptake decreased significantly between 45-85 minutes post-injection.

Conclusions:

  • Preclinical PET/CT, with optimized image processing, offers a sensitive and reliable method for identifying metabolic changes in the mouse brain.
  • The study highlights the importance of normalization, CT-based registration, and SPM for robust metabolic analysis.