Attenuation Map Synthesis with SPECT Images Using Generative Adversarial Networks
This is an implementation of the attenuation map synthesis algorithm described in the following paper:
Shi, Luyao, et al. "Generating Attenuation Map for SPECT-only systems using Generative Adversarial Networks." Journal of Nuclear Medicine 60 (supplement 1): 572.
Main script: SPECTGan_phantom.py
Network was trained with a very small amount of images.
Trainable parameters of the discriminator: 462,721.
Trainable parameters of the generator: 3,833,713.
