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Related Experiment Video

Updated: May 9, 2026

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

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Published on: February 1, 2016

Positron range estimations with PeneloPET.

J Cal-González¹, J L Herraiz, S España

¹Grupo de Física Nuclear, Departamento de Física Atómica, Molecular y Nuclear, Universidad Complutense de Madrid, CEI Moncloa, Spain.

Physics in Medicine and Biology

|July 10, 2013

Summary

Monte Carlo simulations using PeneloPET provide accurate positron range estimates for PET imaging. These findings simplify range correction, improving high-resolution positron emission tomography (PET) image quality.

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Published on: May 22, 2020

Area of Science:

Medical Imaging
Nuclear Physics
Computational Science

Background:

Positron range in tissue is a key factor limiting spatial resolution in Positron Emission Tomography (PET) imaging.
Accurate positron range estimation is crucial for improving PET image reconstruction and overcoming blurring.
Existing positron range estimates vary and lack conclusive experimental validation.

Purpose of the Study:

To simulate positron annihilation distributions for common PET isotopes in various biological tissues using the PeneloPET toolkit.
To compare simulation results with experimental data and existing literature.
To develop a parameterization for positron range profiles and assess universal scaling approaches.

Main Methods:

Utilized the PeneloPET simulation toolkit for Monte Carlo simulations.
Simulated positron annihilation distributions for isotopes (18F, 11C, 13N, 15O, 68Ga, 82Rb) in diverse biological media.
Compared simulation outcomes with experimental data and other simulation results, introducing a new parameterization for range profiles.

Main Results:

PeneloPET simulations show general consistency with experimental data and literature, with mean and maximum range differences under 20%.
Identified the need for improved experimental measurements, particularly concerning positronium formation's effect on positron range.
Confirmed that universal, material- and isotope-independent positron range profiles can be obtained via scaling approaches.

Conclusions:

Monte Carlo simulations with PeneloPET offer reliable positron range data for PET imaging.
The study highlights the necessity for enhanced experimental validation and suggests simplified range correction methods.
Universal scaling approaches can significantly streamline the process of range correction in PET imaging.