We report the implementation and verification of MCGPU-PCD, a Monte Carlo simulator for CdTe-based photon-counting detector (PCD) mammography. MCGPU-PCD is an extension module that integrates PCD-specific physics (dual K-edge photoelectric absorption, K-fluorescence re-absorption, Compton-scatter multi-pixel signals, and electronic noise) into the GPU-accelerated Monte Carlo code MC-GPU. It was developed in-house to overcome the PCD-support limitations of VICTRE, the FDA/CDRH in silico clinical-trial framework. To establish the reliability of the implementation, we performed an xraylib-based theoretical verification and a phase-space-based physical verification against the Geant4-based TOPAS simulator. Through the two-stage verification, the detector images from the two codes showed strong agreement at 50×50 binning Pearson r ≈ 0.972/RRMSE ≈ 0.003 within the cone footprint ROI. The simulator can serve as a basis for future in silico clinical trials of PCD mammography and for the development of image processing algorithms.
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