摘要：In a clinical contest, it is common to use dedicated phantoms to perform quality assurance test to check the performance of a SPECt system. Some of these phantoms are also used to calibrate the system for dosimetric evaluation of patients undergoing radiometabolic cancer therapy. In this work, a 3D-OSEM reconstructed 177 Lu SPECt dataset of a homogeneous cylindrical phantom is described. this dataset was acquired to investigate the variation of the SPECt calibration factor, counts convergence, noise and uniformity by varying the number of subsets and iterations. In particular, the dataset is composed of images reconstructed using fve diferent numbers of subsets and sixteen diferent numbers of iterations, for a total of 80 diferent confgurations . The dataset is suitable for comparison with other reconstruction algorithms (e.g. FBP, MLEM, etc.) and radionuclides (e.g. technetium, yttrium). In regards to the uniformity issue, the same dataset allows the user to perform radiomic investigations on the infuence of the border efect on the reconstructed images .
