Monte Carlo based dataset to train a deep learning based partial volume correction for 177Lu-SPECT imaging

This dataset contains pairs of random activity distribution and Monte Carlo simulated SPECT reconstructions used for the training of a deep learning based partial volume correction method. More detailed information on the creation of the data set, the partial volume correction and the use of the data can be found in the publication listed below and in the readme file.

Publication: Will be updated, when published.