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Resumen diario |
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Vi-P3: Sesión de pósteres III Lugar: Zona pósteres | |
| Presentación 16 | |
Adding DOI layers to engraved hexagonal PET crystals via convolutional neural networks 1: Universidad Carlos III de Madrid, España; 2: Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, España Accurate estimation of gamma interaction in PET systems is crucial to achieve high spatial resolution in the final diagnostic image. Standard PET crystals are segmented into small pixels, so the light generated by the impinging gamma photon stays inside them and the XY coordinates of the event can be precisely located. In contrast, the depth of interaction (DOI) cannot be resolved since no footprint related to the interaction height reaches the photodetector. Alternative manufacturing techniques, such as laser engraving, enable the modulation of light sharing between crystals, thereby establishing a relationship between the photodetector signal and the event's depth. | |
