Wavelet denoising of functional MRI data

Wavelets in Medicine and Biology

Volumn , Issue , 2017, Pages 93-114

  Hilton, Michael ^a   Ogden, Todd ^b   Hattery, David ^d   Eden, Guinevere ^c   Jawerth, Björn ^b  

^a University of South Carolina   (United States)

^b UNIVERSITY OF SOUTH CAROLINA   (United States)

^c NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^d NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85130214949     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (31)

1. F. Abramovich and Y. Benjamíni. Adaptive thresholding of wavelet coefficients. Preprint, 1994.
2. P. A. Bandettini, A. Jesmanowicz, E. C. Wong, and J. S. Hyde. Processing strategies for time-course data sets in functional MRI of the human brain. Magn. Reson. Med., 30:161-173, 1993.
3. J. R. Binder and S. M. Rao. Human brain mapping with functional magnetic resonance imaging. In Localization and Neuroimaging in Neuropsychology, A. Kertesz, editor, Academic Press, New York, 185-212, 1994.
4. H. Chertkow and D. Bub. Functional activation and cognition: The 15o PET subtraction method. In Localization and Neuroimaging in Neuropsychology, A. Kertesz, editor, Academic Press, New York, 151-184, 1994.
5. C. Clark and R. Carson. Analysis of covariance in statistical parametric mapping. J. Cereb. Blood Flow Metab., 13:1038, 1993.
6. I. Daubechies. Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math., 41:909-996, 1988.
7. R. L. DeLaPaz. Echo-planar imaging. Radiographics, 14:1045-1058, 1994.
8. R. A. DeVore and B. J. Lucier. Fast wavelet techniques for near-optimal processing. In IEEE Military Commun. Conf., pages 48.3.1-48.3.7, 1992.
9. D. L. Donoho. De-noising by soft-thresholding. IEEE Trans. Inf. Theory, 41(3):613-627, 1995.
10. D. L. Donoho and I. M. Johnstone. Ideal spatial adaptation via wavelet shrinkage. Biometrika, 81:425-455, 1994.
11. D. L. Donoho and I. M. Johnstone. Adapting to unknown smoothness via wavelet shrinkage. J. Am. Stat. Assoc., to appear.
12. D. L. Donoho, I. M. Johnstone, G. Kerkyacharian, and D. Picard. Wavelet shrinkage: Asymptopia? J. Roy. Stat. Soc., Ser. B, 57:301-369, 1995.
13. J. H. Duyn, V. S. Mattay, R. H. Sexton, G. S. Sobering, F. A. Barrios, G. Liu, J. A. Frank, D. R. Weinbergerm, and C. T. Moonen. 3-dimensional functional imaging of human brain using echo-shifted FLASH MRI. Magn. Reson. Med., 32:150-155, 1994.
14. G. F. Eden, J. W. VanMeter, J. M. Maisog, P. Jezzard, P. Herscovitch, J. L. Rapoport, and T. A. Zeffiro. A comparison of PET and MRFN techniques using a visual stimulus. Human Brain Mapping, S39, 1995.
15. K. J. Friston. Reply to "Analysis of covariance in statistical parametric mapping". J. Cereb. Blood Flow Metab.., 13:1038-1040, 1993.
16. K. J. Friston, P. Jezzard, and R. Turner. Analysis of functional MRI time-series. Human Brain Mapping, 1:153-171, 1994.
17. M. L. Hilton and R. T. Ogden. Data analytic threshold selection in wavelet image de-noising. Tech. Rep. TR9503, Department of Computer Science, University of South Carolina, Columbia, 1995.
18. S. G. Kim, J. Ashe, K. Hendrich, J. M. Ellermann, H. Merkle, K. Ugurbil, and A. P. Georgopoulos. Functional magnetic resonance imaging of motor cortex: Hemispheric asymmetry and handedness. Science, 261:615-617, 1993.
19. G. McCarthy, A. M. Blamire, A. Puce, A. C. Nobre, G. Bloch, F. Hyder, P. Goldman-Rakic, and R. G. Shulman. Functional magnetic resonance imaging of human prefrontal cortex activation during a spatial working memory task. Proc. Natl. Acad. Sei. U.S.A., 91:8690-8694, 1994.
20. G. McCarthy, A. M. Blamire, D. L. Rothman, R. Gruetter, and R. G. Shulman. Echo-planar magnetic resonance imaging studies of frontal cortex activation during word generation in humans. Proc. Natl. Acad. Sei. U.S.A., 90:4952-4956, 1993.
21. C. T. W. Moonen, P. C. M. van Zijl, J. A. Frank, D. Le Bihan, and E. D. Becker. Functional magnetic resonance imaging in medicine and physiology. Science, 250:53-61, 1990.
22. R. Naeye. The brain at work. Discover, 15:30-31, 1994.
23. G. P. Nason. Wavelet regression by cross-validation. Tech. Rep. 447, Department of Statistics, Stanford University, Stanford, California, 1994.
24. S. Ogawa, R. S. Menon, D. W. Tank, S.-G. Kim, H. Merkle, J. M. Ellerman, and K. Ugurbil. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. Biophys. J., 64:803-812, 1993.
25. R. T. Ogden and E. Parzen. Change-point approach to data analytic wavelet thresholding. Stat. Comput., to appear.
26. R. T. Ogden and E. Parzen. Data dependent wavelet thresholding in nonparametric regression with change-point applications. Computational Stat. Data Anal., to appear.
27. S. M. Ross. Stochastic Processes. Wiley, New York, 1993.
28. A. W. Song, E. C. Wong, and J. S. Hyde. Echo-volume imaging. Magn. Reson. Med., 32:668-671, 1994.
29. S. C. Strother, I. Kanno, and D. A. Rottenberg. Principle component analysis, variance partitioning, and "functional connectivity". J. Cereb. Blood Flow Metab., 15:353-360, 1995.
30. J. B. Weaver, X. Yansun, D. M. Healy, and L. D. Cromwell. Filtering noise from images with wavelet transforms. Magn. Reson. Med., 21(2):288-295, 1991.
31. R. P. Woods, S. R. Cherry, and J. C. Mazziota. Rapid automated algorithm for aligning and reslicing PET images. J. Comput. Assist. Tomography, 16(4):620-633, 1992.