45 A comparison of pseudo-CT generation methods for prostate MRI-based dose planning: deep learning, patch-based, atlas-based and bulk-density methods

This study aims to evaluate the accuracy of two DLMs proposed to generate pCT from MRI in prostate radiotherapy: a generative adversarial network (GAN) DLM using a perceptual loss, the classical U-Net DLM and compare them with three current state-of-the art Methods. a patch-based method (PBM), an atlas-based method (ABM) and a bulk density method (BDM).

Source: Physica Medica: European Journal of Medical Physics - November 30, 2019 Category: General Medicine Authors: A. Largent, A. Barateau, J. Nunes, C. Lafond, P.B. Greer, J.A. Dowling, J. Baxter, H. Saint-Jalmes, O. Acosta, R. de Crevoisier Source Type: research