Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning.

CONCLUSION: Both cGAN and cycleGAN could swiftly generate accurate SCT volume images from MR images, with high dosimetric accuracy for NPC IMRT planning. cGAN was preferable if high-quality MR-CT image pairs were available. PMID: 32622781 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/32622781?dopt=Abstract

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - July 1, 2020 Category: Radiology Authors: Peng Y, Chen S, Qin A, Chen M, Gao X, Liu Y, Miao J, Gu H, Zhao C, Deng X, Qi Z Tags: Radiother Oncol Source Type: research