A proposal for full-range fat fraction estimation using magnitude MR imaging

A proposal for full-range fat fraction estimation using magnitude MR imaging

Current methods for estimation of proton density fat fraction (PDFF) of the liver using magnitude magnetic resonance (MR) imaging face the challenge of correctly estimating it when fat is the dominant molecule, i.e. PDFF is more than 50%. Therefore, the accuracy of the methods is limited to half...

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Bibliographic Details
Main Author: Yuri Ajala da Costa
Other Authors: Evandro Luis Linhari Rodrigues
Language:English
Published: Universidade de São Paulo 2018
Subjects:
Fígado
Fração de gordura hepática
Quantificação e estimação
Redes neurais
Ressonância magnética
Liver
Magnetic resonance
Neural networks
Proton density fat fraction
Quantification and estimation
Online Access:http://www.teses.usp.br/teses/disponiveis/18/18152/tde-01102018-083519/

Internet

http://www.teses.usp.br/teses/disponiveis/18/18152/tde-01102018-083519/

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