In the field of medical imaging, the application of generative artificial intelligence techniques for cross-domain translation represents a research area of significant interest. Nevertheless, a comprehensive review of the literature has revealed a lack of established metrics that can guarantee the reliability and quality of generated images. This thesis investigates the use of the pix2pix image translation model for the transformation of medical images from Magnetic Resonance Imaging (MRI) to Computed Tomography (CT). The goal is to identify objective metrics for an accurate evaluation of the produced images. In addition to the utilisation of conventional Full-Reference metrics, including MAE, MSE, PSNR and SSIM, No-Reference metrics such as NIQE, ILNIQE and PIQE were also examined.