Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure

1996 ◽  
Vol 14 (10) ◽  
pp. 1157-1163 ◽  
Author(s):  
J. Sijbers ◽  
P. Scheunders ◽  
N. Bonnet ◽  
D. Van Dyck ◽  
E. Raman
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Image ◽  
Signal To Noise Ratio ◽  
Image Acquisition ◽  
Signal To Noise ◽  
Noise Ratio

Image Acquisition Using Non-Pixeled Amorphous Silicon Based Sensors

2001 ◽  
Vol 685 ◽  
Author(s):  
M. Fernandes ◽  
Yu. Vygranenko ◽  
J. Martins ◽  
M. Vieira
Keyword(s):  
Amorphous Silicon ◽  
Signal To Noise Ratio ◽  
Image Acquisition ◽  
Short Circuit ◽  
Acquisition Time ◽  
Large Area ◽  
Signal To Noise ◽  
Scanning Beam ◽  
Noise Ratio ◽  
Silicon Based

AbstractWe suggest to enhance the performance of image acquisition systems based on large area amorphous silicon based sensors by optimizing the readout parameters such as the intensity and cross-section of scanner beam, acquisition time and bias conditions. The main output device characteristics as image responsivity, signal to noise ratio and spatial resolution were analyzed in open circuit, short circuit and photodiode modes. The result show that the highest signal to noise ratio and best dark to bright ratio can be achieved in short circuit mode.It was shown that the sensor resolution is related to the basic device parameters and, in practice, limited by the acquisition time and scanning beam properties. The scanning beam spot size limits the resolution due to the overlapping of dark and illuminated zones leading to a blurring effect on the final image and a consequent degradation in the resolution.

scholarly journals Performance of compressed sensing for fluorine‐19 magnetic resonance imaging at low signal‐to‐noise ratio conditions

2019 ◽  
Vol 84 (2) ◽  
pp. 592-608
Author(s):  
Ludger Starke ◽  
Andreas Pohlmann ◽  
Christian Prinz ◽  
Thoralf Niendorf ◽  
Sonia Waiczies
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Compressed Sensing ◽  
Signal To Noise Ratio ◽  
Resonance Imaging ◽  
Signal To Noise ◽  
Noise Ratio

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

2018 ◽  
Vol 67 (4) ◽  
pp. 647-654 ◽  
Author(s):  
A. V. Manzhurtsev ◽  
N. A. Semenova ◽  
T. A. Akhadov ◽  
O. V. Bozhko ◽  
S. D. Varfolomeev
Keyword(s):  
Magnetic Resonance ◽  
Human Brain ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Magnetic Resonance Spectra
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