A novel approach for eliminating metal artifacts based on MVCBCT and CycleGAN

PURPOSE: To develop a metal artifact reduction (MAR) algorithm and eliminate the adverse effects of metal artifacts on imaging diagnosis and radiotherapy dose calculations. METHODS: Cycle-consistent adversarial network (CycleGAN) was used to generate synthetic CT (sCT) images from megavoltage cone b...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Zheng, Gao, Xiang, Chang, Yankui, Liu, Gongfa, Pei, Yuanji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686009/
https://www.ncbi.nlm.nih.gov/pubmed/36439465
http://dx.doi.org/10.3389/fonc.2022.1024160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686009/
https://www.ncbi.nlm.nih.gov/pubmed/36439465
http://dx.doi.org/10.3389/fonc.2022.1024160

Ejemplares similares