MACHINE LEARNING-BASED SCINTILLATOR RESPONSE MODELLING FOR INCREASED SPATIAL RESOLUTION IN NUCLEAR IMAGING

摘要

A system (PP) and related methods for supporting nuclear imaging such as PET or other. The system comprises an input interface (IN) for receiving event data that represents an interaction event of gamma-radiation with a pixelated scintillator (SC) of a nuclear imaging apparatus (NIA). A pre-trained machine learning component (MLC) estimates a point spread function, PSF, for the said event. An output interface (OUT) outputs a representation of the PSF. The PSF may be used in emission image reconstruction for improved spatial resolution.