MRI to CT Translation with GANs
This work addresses the need for accurate medical image translation, but it is incremental as it applies existing methods to a specific dataset.
The authors tackled the problem of MRI to CT translation by preparing the RIRE dataset and implementing three CNN/GAN models, reporting statistics and visual results for two of them.
We present a detailed description and reference implementation of preprocessing steps necessary to prepare the public Retrospective Image Registration Evaluation (RIRE) dataset for the task of magnetic resonance imaging (MRI) to X-ray computed tomography (CT) translation. Furthermore we describe and implement three state of the art convolutional neural network (CNN) and generative adversarial network (GAN) models where we report statistics and visual results of two of them.