Positron emission tomography (PET) scans utilize a radioactive dye that emits positrons, which annihilate with electrons, producing two photons traveling in opposite directions. Detectors capture these photons, and by identifying simultaneous detections on opposite sides, an image is formed by drawing lines between the detectors, indicating the dye's distribution in 3D. Attaching the dye to sugar molecules allows visualization of metabolic activity, which can reveal issues like tumors. Advanced techniques, such as using FPGA-based digital coincidence engines, enhance event identification and image accuracy by allowing for more complex logic in detecting photon pairs. These improvements require significant computational power but can yield richer imaging data.