A region segmentation based algorithm for building crystal position lookup table in scintillation detector

TL;DR

This paper introduces a novel region segmentation algorithm for creating a crystal position lookup table in scintillation detectors, improving calibration accuracy for gamma-ray localization.

Contribution

The paper presents a new segmentation-based method for generating crystal lookup tables, enhancing calibration precision and robustness over traditional approaches.

Findings

Accurate crystal boundary detection in scintillation detectors

Efficient calibration process demonstrated on PET and SPECT systems

Robust method applicable to various detector configurations

Abstract

In scintillation detector, scintillation crystals are typically made into 2-dimension modular array. The location of incident gamma-ray need be calibrated due to spatial response nonlinearity. Generally, position histograms, the characteristic flood response of scintillation detectors, are used for position calibration. In this paper, a position calibration method based on crystal position lookup table which maps the inaccurate location calculated by Anger logic to the exact hitting crystal position has been proposed, Firstly, position histogram is segmented into disconnected regions. Then crystal marking points are labeled by finding the centroids of regions. Finally, crystal boundaries are determined and crystal position lookup table is generated. The scheme is evaluated by the whole-body PET scanner and breast dedicated SPECT detector developed by Institute of High Energy Physics, Chinese Academy of Sciences. The results demonstrate that the algorithm is accurate, efficient, robust and general purpose.