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Related Concept Videos

Positron Emission Tomography01:29

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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...
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Related Experiment Video

Updated: Mar 31, 2026

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
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An open tool for input function estimation and quantification of dynamic PET FDG brain scans.

Martín Bertrán1, Natalia Martínez1, Guillermo Carbajal2

  • 1Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay.

International Journal of Computer Assisted Radiology and Surgery
|October 31, 2015
PubMed
Summary

This study introduces an open-source software tool for quantitative analysis of Positron Emission Tomography (PET) studies. The tool aids in estimating the input function, crucial for accurate measurements and treatment response evaluation in dynamic PET imaging.

Keywords:
FDGImage-derived input functionPET quantificationPatlak analysis

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Computational Imaging

Background:

  • Quantitative analysis in Positron Emission Tomography (PET) studies is essential for objective measurements, treatment response evaluation, and patient data comparison.
  • Accurate quantitative PET analysis requires determining the input function, representing tracer availability in the brain, typically via invasive arterial blood sampling.
  • Non-invasive alternatives for input function estimation are crucial for routine clinical application due to the limitations of arterial blood sampling.

Purpose of the Study:

  • To develop and share an open-source software tool to facilitate the estimation of the input function for dynamic PET studies.
  • To enable the derivation of quantitative maps from dynamic PET data, improving objective analysis and treatment assessment.
  • To integrate various input function estimation methods and novel strategies for blood pool segmentation and parameter estimation.

Main Methods:

  • Development of a software tool integrated as an extension for the 3D Slicer platform.
  • Implementation of several established methods for input function estimation, including image-derived and population-based approaches.
  • Inclusion of novel strategies for blood pool segmentation and parameter estimation to enhance accuracy and applicability.

Main Results:

  • The developed software tool, available as a 3D Slicer extension, was validated using phantom studies.
  • Segmentation algorithms demonstrated reliable performance across various acquisition conditions and vasculature sizes.
  • End-to-end use of the tool resulted in quantitative maps with a [Formula: see text] relative error in estimated influx compared to ground truth on phantoms.

Conclusions:

  • An open-source, free-to-use tool has been developed for estimating the input function and quantifying dynamic PET FDG studies.
  • The tool incorporates established methods and novel strategies, showing promising results on phantom validation.
  • The software offers a viable alternative to blood sampling for quantification, encouraging collaborative research and further validation on clinical studies.