An automatic method for estimating noise-induced signal variance in magnitude-reconstructed magnetic resonance images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 5747, Issue II, 2005, Pages 1136-1142

  Chang, Lin Ching ^a   Rohde, Gustave K ^a,b   Pierpaoli, Carlo ^a  

^a EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Density estimation; Magnitude reconstructed MRI; Noise variance; Signal variance

Indexed keywords

AUTOMATION; DATA REDUCTION; DIFFUSION; IMAGE QUALITY; PARAMETER ESTIMATION; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE;

DENSITY ESTIMATION; MAGNITUDE-RECONSTRUCTED MRI; NOISE VARIANCE; SIGNAL VARIANCE;

MAGNETIC RESONANCE IMAGING;

EID: 23844441918     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.596008     Document Type: Conference Paper

References (10)

1. R. M. Henkelman, "Measurement of Signal Intensities in the Presence of Noise in MR Images," Medical Physics, vol. 12, pp. 232-233, 1985.
2. H. Gudbjartsson and S. Patz, "The Rician Distribution of Noisy MRI Data," Magnetic Resonance in Medicine, vol. 34, pp. 910-914, 1995.
3. M. E. Brummer, R. M. Mersereau, R. L. Eisner, and R. R. J. Lewine, "Automatic Detection of Brain Contours in MRI Data Sets," IEEE Transactions on Medical Imaging, vol. 12, pp. 153-166, 1993.
4. J. Sijbers, A. J. den Dekker, J. Van Audekerke, M. Verhoye, and D. Van Dyck, "Estimation of the Noise in Magnitude MR Images," Magnetic Resonance Imaging, vol. 16, pp. 87-90, 1998.
5. H. Sturges, "The Choice of a Class-interval.," J. Amer. Statist. Assoc., vol. 21, pp. 65-66, 1926.
6. D. W. Scott, "Optimal and Data-Based Histograms," Biometrika, vol. 66, pp. 605-610, 1979.
7. D. Freedman and P. Diaconis, "On the Histogram as a Density Estimator - L2 Theory," Zeitschrift Fur Wahrscheinlichkeitstheorie Und Verwandte Gebiete, vol. 57, pp. 453-476, 1981.
8. W. H. Press, Teukolsky S. A., Vetterling, W. T., Flannery B. P., Numerical Recipes in C: The Art of Scientific Computing, 2nd edition. New York: Cambridge University Press, 1992.
9. D. W. Scott, Multivariate Density Estimation: Theory, Practice and Visualization. New York: John Wiley & Sons, 1992.
10. B.W. Silverman, Density Estimation for Statistics and Data Analysis. New York: Chapman and Hall, 1986.