Single Image Signal-to-Noise Ratio Estimation for Magnetic Resonance Images

A novel technique to quantify the signal-to-noise ratio (SNR) of magnetic resonance images is developed. The image SNR is quantified by estimating the amplitude of the signal spectrum using the autocorrelation function of just one single magnetic resonance image. To test the performance of the quant...

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Published in:Journal of medical systems 2011-02, Vol.35 (1), p.39-48
Main Authors: Sim, K. S., Lai, M. A., Tso, C. P., Teo, C. C.
Format: Article
Language:English
Subjects:
Amplitudes
Autocorrelation functions
Estimating
Health Informatics
Health Sciences
Humans
Image processing systems
Image Processing, Computer-Assisted - methods
Image Processing, Computer-Assisted - statistics & numerical data
Magnetic resonance
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic Resonance Imaging - statistics & numerical data
Medical
Medical imaging
Medicine
Medicine & Public Health
Models, Statistical
NMR
Nuclear magnetic resonance
Original Paper
Phantoms, Imaging
Signal Processing, Computer-Assisted
Signal to noise ratio
Statistics for Life Sciences
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description A novel technique to quantify the signal-to-noise ratio (SNR) of magnetic resonance images is developed. The image SNR is quantified by estimating the amplitude of the signal spectrum using the autocorrelation function of just one single magnetic resonance image. To test the performance of the quantification, SNR measurement data are fitted to theoretically expected curves. It is shown that the technique can be implemented in a highly efficient way for the magnetic resonance imaging system.
doi_str_mv 10.1007/s10916-009-9339-9
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subjects Amplitudes
Autocorrelation functions
Estimating
Health Informatics
Health Sciences
Humans
Image processing systems
Image Processing, Computer-Assisted - methods
Image Processing, Computer-Assisted - statistics & numerical data
Magnetic resonance
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic Resonance Imaging - statistics & numerical data
Medical
Medical imaging
Medicine
Medicine & Public Health
Models, Statistical
NMR
Nuclear magnetic resonance
Original Paper
Phantoms, Imaging
Signal Processing, Computer-Assisted
Signal to noise ratio
Statistics for Life Sciences
title Single Image Signal-to-Noise Ratio Estimation for Magnetic Resonance Images
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