Pseudo‐CT generation from multi‐parametric MRI using a novel multi‐channel multi‐path conditional generative adversarial network for nasopharyngeal carcinoma patients

Purpose To develop and evaluate a novel method for pseudo‐CT generation from multi‐parametric MR images using multi‐channel multi‐path generative adversarial network (MCMP‐GAN). Methods Pre‐ and post‐contrast T1‐weighted (T1‐w), T2‐weighted (T2‐w) MRI, and treatment planning CT images of 32 nasopharyngeal carcinoma (NPC) patients were employed to train a pixel‐to‐pixel MCMP‐GAN. The network was developed based on a 5‐level Residual U‐Net...