A flood map based DOI decoding method for block detector: a GATE simulation study.

Area of Science:

• Medical Imaging
• Nuclear Physics
• Biomedical Engineering

Background:

• Positron Emission Tomography (PET) systems benefit from Depth of Interaction (DOI) detectors for improved spatial resolution and image quality.
• Existing DOI methods are often too expensive for widespread adoption in whole-body PET systems.
• Conventional block detectors with four-PMT readout are widely used but lack DOI capabilities.

Purpose of the Study:

• To develop and validate a cost-efficient DOI decoding method for conventional PET detectors.
• To extract DOI information directly from flood map data.
• To assess the feasibility of enhancing PET systems with DOI capabilities without substantial cost escalation.

Main Methods:

• A novel DOI decoding method based on analyzing flood maps from conventional block detectors with four-PMT readout was developed.
• DOI information was extracted by identifying crystal spot deformation patterns within the flood map.
• The method's accuracy was validated using GATE simulations.

Main Results:

• The proposed flood map-based method successfully extracts DOI information from conventional block detectors.
• GATE simulations confirmed a DOI sorting accuracy of 85.27% for the developed method.
• The technique demonstrates the potential for cost-effective DOI measurement in PET systems.

Conclusions:

• The presented DOI decoding method offers a practical solution for incorporating DOI capabilities into existing PET detector designs.
• This approach allows for improved PET imaging performance without significantly increasing system complexity or cost.
• The method holds promise for broader application in developing more advanced and affordable PET scanners.