The ultimate signal-to-noise ratio in realistic body models

Autor:	Bastien, Guérin, Jorge F, Villena, Athanasios G, Polimeridis, Elfar, Adalsteinsson, Luca, Daniel, Jacob K, White, Lawrence L, Wald
Rok vydání:	2016
Předmět:	Models Anatomic Electromagnetic Fields Image Processing Computer-Assisted Humans Computer Simulation Signal Processing Computer-Assisted Signal-To-Noise Ratio Head Magnetic Resonance Imaging Article
Zdroj:	Magnetic resonance in medicine. 78(5)
ISSN:	1522-2594
Popis:	We compute the ultimate signal-to-noise ratio (uSNR) and G-factor (uGF) in a realistic head model from 0.5 to 21 Tesla.We excite the head model and a uniform sphere with a large number of electric and magnetic dipoles placed at 3 cm from the object. The resulting electromagnetic fields are computed using an ultrafast volume integral solver, which are used as basis functions for the uSNR and uGF computations.Our generalized uSNR calculation shows good convergence in the sphere and the head and is in close agreement with the dyadic Green's function approach in the uniform sphere. In both models, the uSNR versus BThe uSNR and uGFs are computable in nonuniform body models and provide fundamental performance limits for human imaging with close-fitting MRI array coils. Magn Reson Med 78:1969-1980, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::34167c72ea240534821889246a2ffaea https://pubmed.ncbi.nlm.nih.gov/27917528 Zobrazit plný text záznamu Plný text