Gianfranco Cicoria

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In this work we developed a Monte Carlo (MC) model of the Sedecal Argus pre-clinical PET scanner, using GATE (Geant4 Application for Tomographic Emission). This is a dual-ring scanner which features DOI compensation by means of two layers of detector crystals (LYSO and GSO). Geometry of detectors and sources, pulses readout and selection of coincidence(More)
A method for partial volume correction of positron emission tomography (PET) images is proposed. The method is based on combining information from PET and high resolution anatomical images. Two different algorithms fast wavelet transform andà trous were implemented in order to decompose the PET and high resolution images. Results obtained using several(More)
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