In Vivo Positronium Lifetime Measurements with LAFOV PET/CT

The repository contains the following data that was used in the publication https://doi.org/10.1109/TRPMS.2026.3687923: AC CT of the [82Rb]Cl subject. Evaluated time difference event data of [82Rb]Cl subject. AC CT, coincidence PET image, 3D histoimage and evaluated time difference event data of the 124I blood samples and water syringe. The evaluated singles data (the .l files) is in binary format. Its made of 64 bit floating point numbers and the data is organized as x,y,z,t. The three coordinates are in mm and the time difference between the prompt and coincidence photon is in ns for each detected three-photon event. It can be read with the following Python function, which returns a large table with four columns. def read_singles_binary(file): a = np.fromfile(file, dtype=np.float64).reshape((-1,4)) a = a[:,[1,2,0,3]] # convert to zyx a[:,0] *= -1 # flip z a[:,1] *= -1 # flip y return a