Spatiotemporal denoising and clustering of fMRI data

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2857-2860

  Song, Xiaomu ^a   Murphy, Matthew ^a   Wyrwicz, Alice M ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Bayesian shrinkage; Functional magnetic resonance imaging; Gaussian mixture model; Wavelet

Indexed keywords

ACTIVATED AREAS; BAYESIAN; BAYESIAN SHRINKAGE; DE-NOISING; DENOISING METHODS; EXPERIMENTAL DATA; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GAUSSIAN MIXTURE MODEL; PRIOR INFORMATION; SPACE AND TIME; SPATIO TEMPORAL FEATURES; SPATIO-TEMPORAL DENOISING; STATISTICAL TESTING; TEMPORAL DOMAIN; TIME COURSE; WAVELET;

ACTIVATION ANALYSIS; BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; IMAGE PROCESSING; IMAGING SYSTEMS; NOISE POLLUTION CONTROL; RESONANCE; SHRINKAGE; STATISTICAL TESTS; TIME DOMAIN ANALYSIS; TIME SERIES;

MAGNETIC RESONANCE IMAGING;

EID: 78649813939     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.313025     Document Type: Conference Paper

References (18)

1. R. D. Nowak, "Wavelet-based Rician noise removal for magnetic resoance imaging," IEEE Trans. on Image Processing, vol. 8, no. 10, pp. 1408-1419, 1999.
2. G. Davenport, T. A. Smith, and N. Pincever, "Denoising functional MR images: A comparison of wavelet denoising and gaussian smoothing," IEEE Trans. on Medical Imaging, vol. 23, no. 3, pp. 374-387, March 2004.
3. M. Feilner, T. Blu, and M. Unser, "Statistical analysis of fMRI data using orthogonal filterbanks," in Proc. of SPIE Conference on Wavelet Applications in Signal and Image Processing, 1999, pp. 551-560.
4. U. E. Ruttimann, M. Unser, R. R. Rawlings, D. Rio, N. F. Ramsey, V. S. Mattay, D. W. Hommer, J. A. Frank, and D. R. Weinberger, "Statistical analysis of functional MRI data in the wavelet domain," IEEE Trans. on Medical Imaging, vol. 17, no. 2, pp. 142-154, 1998.
5. H. A. Chipman, E. D. Kolaczyk, and R. E. McCulloch, "Adaptive bayesian wavelet shrinkage," J. Amer Statistic Assoc., vol. 92, pp. 1413-1421, 1997.
6. F. Ruggeri and B. Vidakovic, Bayesian Modeling in the Wavelet Domain, in Handbook of Statistics Vol. 25, on Bayesian Statistics, 2005.
7. M. Clyde and E. I. George, Empirical Bayes Estimation in Wavelet Nonparametric Regression, in Bayesian Inference in Wavelet Based Models, Lect. Notes Statis., 141, 1999.
8. Z. Fu, Y. Hui, and Z.-P. Liang, "Joint spatiotemporal statistical analysis of functional MRI data," in Proc. of IEEE Int'l Conference on Image Processing, Chicago, IL, 1998, pp. 709-713.
9. D. Donoho and I. Johnstone, "Ideal adaption via wavelet shrinkage," Biometrika, vol. 81, pp. 425-455, 1994.
10. D. Donoho and I. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," J. Amer. Statistic. Assoc., vol. 90, pp. 1200-1224, 1995.
11. G. P. Nason and B. W. Silverman, "The stationary wavelet transform and some statistical applications," Lecture Notes in Statistics, vol. 103, pp. 281-299, 1995.
12. S. M. LaConte, S.-C. Ngan, and X. Hu, "Wavelet transform-based wiener filtering of event-related fMRI data," Magnetic Resonance in Medicine, vol. 44, pp. 746-757, 2000.
13. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Stat. Soc., vol. 39, pp. 1-38, 1977.
14. A. P. Holmes, Statistical issues in functional brain mapping, Ph.D. thesis, Ph.D. thesis, University of Glasgow, Glasgow, U.K., 1995.
15. C. Goutte, P. Toft, E. Rostrup, F. A. Nielsen, and L. K. Hansen, "On clustering fMRI time series," NeuroImageJ. Amer Statistic Assoc., vol. 9, pp. 298-310, 1999.
16. C. Goutte, L. K. Hansen, M. G. Liptrot, and E. Rostrup, "Feature space clustering for fMRI meta-analysis," Human Brain Mapping, vol. 13, pp. 165-183, 2001.
17. J. Rissanen, "A universal prior for integers and estimation by minimum description length," Annals of Statistics, vol. 11, no. 2, pp. 417-431, 1983.
18. A. G. Chang, B. Yu, and M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. on Image Processing, vol. 9, no. 9, pp. 1532-1546, 2000.