Optimization of signal-to-noise ratio in the in vivo31P magnetic resonance spectra of the human brain


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

The main problem in 31P magnetic resonance spectroscopy is a low signal-to-noise ratio (SNR) of spectra acquired with clinical magnetic resonance imaging (MRI) scanners. Using spin-spin phosphorus-proton (31P-1H) decoupling and heteronuclear Overhauser effect and taking into account the effect of the longitudinal relaxation time T1 on the SNR, the method for localization and excitation of the region of interest (Image Selected in vivo Spectroscopy pulse sequence) was optimized to increase the SNR in the 31P magnetic resonance spectra of the human brain to ~50% without increasing signal acquisition time.

Sobre autores

A. Manzhurtsev

Emanuel Institute of Biochemical Physics, Russian Academy of Sciences; Research Institute of Children Emergency Surgery and Trauma

Autor responsável pela correspondência
Email: andrey.man.93@gmail.com
Rússia, 4 ul. Kosygina, Moscow, Russian Federation, 119334; 22 ul. Bolshaya Polyanka, Moscow, Russian Federation, 119180

N. Semenova

Emanuel Institute of Biochemical Physics, Russian Academy of Sciences; Research Institute of Children Emergency Surgery and Trauma; N. N. Semenov Institute of Chemical Physics, Russian Academy of Sciences

Email: andrey.man.93@gmail.com
Rússia, 4 ul. Kosygina, Moscow, Russian Federation, 119334; 22 ul. Bolshaya Polyanka, Moscow, Russian Federation, 119180; 4 ul. Kosygina, Moscow, Russian Federation, 119334

T. Akhadov

Research Institute of Children Emergency Surgery and Trauma

Email: andrey.man.93@gmail.com
Rússia, 22 ul. Bolshaya Polyanka, Moscow, Russian Federation, 119180

O. Bozhko

Research Institute of Children Emergency Surgery and Trauma

Email: andrey.man.93@gmail.com
Rússia, 22 ul. Bolshaya Polyanka, Moscow, Russian Federation, 119180

S. Varfolomeev

Emanuel Institute of Biochemical Physics, Russian Academy of Sciences

Email: andrey.man.93@gmail.com
Rússia, 4 ul. Kosygina, Moscow, Russian Federation, 119334

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML

Declaração de direitos autorais © Springer Science+Business Media, LLC, part of Springer Nature, 2018