Literature DB >> 20703587

Single image signal-to-noise ratio estimation for magnetic resonance images.

K S Sim1, M A Lai, C P Tso, C C Teo.   

Abstract

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.

Mesh：

Year:  2009        PMID： 20703587     DOI： 10.1007/s10916-009-9339-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN： 0148-5598            Impact factor:   4.460


  11 in total

1.  Signal-to-noise ratio of electron micrographs obtained by cross correlation.

Authors:  J Frank; L Al-Ali
Journal:  Nature       Date:  1975-07-31       Impact factor: 49.962

2.  Performance of a mixed Lagrange time delay estimation autoregressive (MLTDEAR) model for single-image signal- to-noise ratio estimation in scanning electron microscopy.

Authors:  K S Sim; H T Chuah; C Zheng
Journal:  J Microsc       Date:  2005-07       Impact factor: 1.758

3.  Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study.

Authors:  Vincent A Magnotta; Lee Friedman
Journal:  J Digit Imaging       Date:  2006-06       Impact factor: 4.056

4.  Physiological noise modelling for spinal functional magnetic resonance imaging studies.

Authors:  Jonathan C W Brooks; Christian F Beckmann; Karla L Miller; Richard G Wise; Carlo A Porro; Irene Tracey; Mark Jenkinson
Journal:  Neuroimage       Date:  2007-09-20       Impact factor: 6.556

5.  Influence of multichannel combination, parallel imaging and other reconstruction techniques on MRI noise characteristics.

Authors:  Olaf Dietrich; José G Raya; Scott B Reeder; Michael Ingrisch; Maximilian F Reiser; Stefan O Schoenberg
Journal:  Magn Reson Imaging       Date:  2008-04-28       Impact factor: 2.546

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

Authors:  J Sijbers; P Scheunders; N Bonnet; D Van Dyck; E Raman
Journal:  Magn Reson Imaging       Date:  1996       Impact factor: 2.546

7.  Measuring signal-to-noise ratios in MR imaging.

Authors:  L Kaufman; D M Kramer; L E Crooks; D A Ortendahl
Journal:  Radiology       Date:  1989-10       Impact factor: 11.105

8.  Signal-to-noise measures for magnetic resonance imagers.

Authors:  B W Murphy; P L Carson; J H Ellis; Y T Zhang; R J Hyde; T L Chenevert
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

9.  Measurement of signal intensities in the presence of noise in MR images.

Authors:  R M Henkelman
Journal:  Med Phys       Date:  1985 Mar-Apr       Impact factor: 4.071

10.  Radiological interpretation 2020: toward quantitative image assessment.

Authors:  John M Boone
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071
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  3 in total

1.  Computational Diffusion Magnetic Resonance Imaging Based on Time-Dependent Bloch NMR Flow Equation and Bessel Functions.

Authors:  Bamidele O Awojoyogbe; Michael O Dada; Samuel O Onwu; Taofeeq A Ige; Ninuola I Akinwande
Journal:  J Med Syst       Date:  2016-02-18       Impact factor: 4.460

2.  A novel method for quantifying scanner instability in fMRI.

Authors:  Douglas N Greve; Bryon A Mueller; Thomas Liu; Jessica A Turner; James Voyvodic; Elizabeth Yetter; Michele Diaz; Gregory McCarthy; Stuart Wallace; Brian J Roach; Judy M Ford; Daniel H Mathalon; Vince D Calhoun; Cynthia G Wible; Gregory G Brown; Steven G Potkin; Gary Glover
Journal:  Magn Reson Med       Date:  2010-11-30       Impact factor: 4.668

3.  An automatic restoration framework based on GPU-accelerated collateral filtering in brain MR images.

Authors:  Herng-Hua Chang; Cheng-Yuan Li
Journal:  BMC Med Imaging       Date:  2019-01-19       Impact factor: 1.930
  3 in total

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