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Crystal identification for a dual-layer-offset LYSO based PET system via Lu-176 background radiation and mean shift

Qingyang Wei¹, Tianyu Ma², Tianpeng Xu²

¹Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, People's Republic of China.

Physics in Medicine and Biology

|November 22, 2017

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This study introduces a new method for crystal identification in dual-layer-offset LYSO animal PET systems using Lu-176 background radiation and the mean shift algorithm, achieving high accuracy without external sources.

Area of Science:

Nuclear physics
Medical imaging technology
Materials science

Background:

Positron emission tomography (PET) detectors utilize pixelated scintillation crystals for gamma-ray detection.
Accurate crystal identification is crucial for precise positioning in PET imaging.
Existing methods often rely on external radiation sources, which can be inconvenient.

Purpose of the Study:

To develop and validate a novel, self-sufficient crystal identification method for dual-layer-offset LYSO animal PET systems.
To leverage intrinsic Lu-176 background radiation for crystal identification.
To improve the efficiency and accuracy of crystal mapping in PET detectors.

Main Methods:

Acquisition of Lu-176 background radiation data in list-mode to generate single photon flood maps (SPFM) and coincidence flood maps (CFM).

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Application of the mean shift algorithm to identify crystal peaks in both inner and outer layers using CFM and SPFM.

Utilizing a graphical user interface for manual inspection and a distance criterion for final crystal position map generation.

Main Results:

The proposed method achieved high accuracy: 99.98% for inner layer peaks and 99.09% for outer layer peaks.
The entire crystal identification process for the animal PET system completed in 67.9 seconds.
Successful verification on an animal PET system with 48 detector blocks.

Conclusions:

The developed method effectively identifies crystals in dual-layer-offset LYSO PET systems using intrinsic background radiation.
This approach eliminates the need for external radiation sources, simplifying the calibration process.
The method is efficient, accurate, and suitable for practical implementation in animal PET research.