Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning.
Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for MRI-based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network (GAN)) using various loss functions (L2, single-scale perceptual loss (PL), multiscale PL, weighted multiscale PL), and a patch-based method (PBM). Thirty-nine patients received a VMAT for […]