Framework for denoising Monte Carlo photon transport simulations using deep learning

SIGNIFICANCE: The Monte Carlo (MC) method is widely used as the gold-standard for modeling light propagation inside turbid media, such as human tissues, but combating its inherent stochastic noise requires one to simulate a large number photons, resulting in high computational burdens. AIM: We aim t...

Descripción completa

Detalles Bibliográficos
Autores principales: Raayai Ardakani, Matin, Yu, Leiming, Kaeli, David R., Fang, Qianqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130925/
https://www.ncbi.nlm.nih.gov/pubmed/35614533
http://dx.doi.org/10.1117/1.JBO.27.8.083019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130925/
https://www.ncbi.nlm.nih.gov/pubmed/35614533
http://dx.doi.org/10.1117/1.JBO.27.8.083019

Ejemplares similares