Monte Carlo simulations of realistic transmission breast optical tomography data to estimate the impact of errors in experimental parameters on reconstructed images

Autor:	Mark Martino, Stefan A. Carp, Amir Y. Sajjadi, Qianqian Fang, David A. Boas
Rok vydání:	2014
Předmět:	Physics medicine.diagnostic_test business.industry Physics::Medical Physics Monte Carlo method Iterative reconstruction Finite element method Diffuse optical imaging Optics Transmission (telecommunications) medicine Tomography Diffusion (business) Optical tomography business Algorithm
Zdroj:	Biomedical Optics 2014.
Popis:	We use mesh based Monte Carlo simulations to generate realistic transmission breast diffuse optical tomography data. We use these controlled conditions to test the impact of data degradation on finite element diffusion based image reconstructions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c9749667538f00dada396069ceee3e1 https://doi.org/10.1364/biomed.2014.bm3a.63 Zobrazit plný text záznamu