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Positron Emission Tomography

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Related Experiment Video

Updated: Jul 3, 2026

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PET rapid image reconstruction challenge (PETRIC).

Casper da Costa-Luis¹, Matthias J Ehrhardt², Christoph Kolbitsch³

¹Science & Technology Facilities Council, UK Research & Innovation, Rutherford Appleton Laboratory, Harwell, United Kingdom.

Frontiers in Nuclear Medicine

|April 13, 2026

Summary

This summary is machine-generated.

PETRIC is a new challenge for Positron Emission Tomography (PET) image reconstruction, aiming to speed up algorithms. It provides a framework and datasets for evaluating reconstruction methods, fostering innovation in medical imaging.

Keywords:

challenge image reconstruction inverse problems medical imaging open source positron emission tomography

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Area of Science:

Medical Imaging
Computational Science
Nuclear Medicine

Background:

Positron Emission Tomography (PET) image reconstruction is computationally intensive.
Existing medical imaging challenges have not focused on PET image reconstruction.

Purpose of the Study:

To establish PETRIC, a challenge focused on minimizing computational runtime for PET image reconstruction algorithms.
To provide a standardized platform for evaluating PET image reconstruction methods.

Main Methods:

Developed an open-source framework for algorithm implementation and evaluation.
Defined objective functions and performance metrics.
Curated diverse PET phantom datasets for training and testing.

Main Results:

Four teams participated with nine distinct algorithms.
Submitted algorithms utilized optimization theory, including AI and stochastic gradients.
Varied performance outcomes were observed based on algorithm implementation.

Conclusions:

PETRIC provides a foundational framework for advancing PET image reconstruction.
The challenge platform is reusable for future evaluations of new and existing methods.
Future iterations of the challenge will continue to drive progress in the field.