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Optimizing PET Detector Performance and Calibration through Flood Histogram Analysis.

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    Summary
    This summary is machine-generated.

    Analyzing flood histograms with Weighted Spot Deviation (WSD), Voronoi Diagrams (VD), and Delaunay Triangulation (DT) effectively evaluates Positron Emission Tomography (PET) detector performance and identifies nonuniformities.

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    Area of Science:

    • Medical Imaging
    • Nuclear Instrumentation

    Background:

    • Effective analysis of flood histograms is crucial for evaluating Positron Emission Tomography (PET) detector performance.
    • Existing methods require robust techniques for comprehensive spatial analysis and quality control.

    Purpose of the Study:

    • To outline a detailed procedure for generating and analyzing flood histograms in PET detectors.
    • To assess detector performance using advanced spatial analysis techniques.
    • To improve detector calibration and quality control.

    Main Methods:

    • Utilized Weighted Spot Deviation (WSD), Voronoi Diagrams (VD), and Delaunay Triangulation (DT) for histogram analysis.
    • Applied techniques to a PET detector system with an 8x8 LSO scintillator array and Sigma-Delta ADC/FPGA-based DAQ.
    • Conducted position profiling, centroid connectivity, anomaly detection, segmentation, skeletonization, and triangulation.

    Main Results:

    • Demonstrated the application of WSD on SiPM and PSPMT arrays for flood histogram generation.
    • Performed detailed spatial analyses to characterize detector uniformity and identify anomalies.
    • Successfully applied segmentation, skeletonization, and triangulation for in-depth spatial assessment.

    Conclusions:

    • The developed methods enable a comprehensive assessment of PET detector performance through spatial analysis.
    • These techniques effectively identify nonuniformities and improve detector calibration.
    • The study enhances quality control and characterization of PET detectors.