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


Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

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.

Авторлар туралы

A. Manzhurtsev

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

Хат алмасуға жауапты Автор.
Email: andrey.man.93@gmail.com
Ресей, 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
Ресей, 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
Ресей, 22 ul. Bolshaya Polyanka, Moscow, Russian Federation, 119180

O. Bozhko

Research Institute of Children Emergency Surgery and Trauma

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

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