fMRI signal restoration using a spatio-temporal Markov Random Field preserving transitions

NeuroImage

Volumn 8, Issue 4, 1998, Pages 340-349

  Descombes, Xavier ^a   Kruggel, Frithjof ^a   Von Cramon, D Yves ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; DIGITAL FILTERING; ENERGY; HEMODYNAMICS; MAGNETIC FIELD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; SIGNAL DETECTION; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

EID: 0032211488     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1006/nimg.1998.0372     Document Type: Article

References (25)

1. Aguirre G., Zarahn E., D'Esposito M. Empirical analysis of BOLD fMRI statistics. ii. Spatially smoothed data collected under null-hypothesis and experimental conditions. Neuroimage. 5:1997;199-212.
2. Andrews H., Hunt B. Digital Image Restoration. 1977;Prentice Hall, Englewood Cliffs.
3. Besag J. Spatial interaction and statistical analysis of lattice systems. Acad. R. Stat. Soc. Series B. 36:1974;721-741.
4. Chalmond B. Image restoration using an estimated Markov model. Signal Proc. 15:1988;115-129.
5. Charbonnier P., Blanc-Feraud L., Barlaud M. Noisy image restoration using multiresolution Markov random fields. Journal of Visual Communication and Image Representation. 3:1992;338-346.
6. Chellappa, R. Simchony, T. Jinchi, H. 1988, Relaxation algorithms for MAP restoration of gray level images with multiplicative noise, Univ. S. Calif. Signal Image Processing Inst.
7. Derin H., Elliott H. Modelling and segmentation of noisy and textured images using Gibbs random fields. IEEE Trans. Pattern Anal. Machine Intelligence. 9:1987;39-55.
8. Descombes X. A fission and fusion Markovian approach for multichannel segmentation. Proc. IGARSS'95, Firenze, Italy. 1995;. p. 124-127.
9. Descombes X. A dense class of Markov Random Fields and associated parameter estimation. J. Vis. Commun. Image Rep. 8:1997;299-316.
10. Forman S., Cohen J., Fitzgerald M., Eddy W., Mintun M., Noll D. Improved assessment of significant activation in fMRI: Use of a cluster-size threshold. Magn. Reson. Med. 33:1995;636-647.
11. Friston K., Frackowiak K. W. R., Mazziotta J., Evans A. Assessing the significance of focal activations using their spatial extent. Human Brain Mapping. 1:1994;210-220.
12. Friston K., Holmes A., Poline J., Grasby P., Williams S., Frackowiak R., Turner R. Analysis of fMRI time-series revisited. NeuroImage. 2:1995;45-53.
13. Geiger D., Yuille A. A common framework for image segmentation. Proc. Int. Conf. Patt. Recog. ICPR-90. 1990;. p. 502-507.
14. Geman S., Geman D. Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Machine Intelligence. 6:1984;721-741.
15. Geman S., McClure D. Statistical methods for tomographic image reconstruction. Proc. of the 46th session of the ISI. 1987;. p. 22-26.
16. Geman S., Reynolds G. Constrained restoration and recovery of discontinuities. IEEE Trans. Pattern Anal. Machine Intelligence. 14:1992;367-383.
17. Gimel'farb G. Texture modeling by multiple pairwise pixel interactions. IEEE Trans. Pattern Anal. Machine Intelligence. 18:1996;1110-1114.
18. Heitz F., Bouthemy P. Multimodal estimation of discontinuous optical flow using Markov Random Fields. IEEE Trans. Pattern Anal. Machine Intelligence. 15:1993;1217-1232.
19. Konrad J., Dubois E. Bayesian estimation of motion vector fields. IEEE Trans. Pattern Anal. Machine Intelligence. 14:1992;910-927.
20. Kruggel F., Descombes X., von Cramon D. Preprocessing of fmr datasets. IEEE Workshop on Biomedical Image Analysis, Santa Barbara. 1998.
21. Nikolova M. Regularisation functions and estimators. Proc. IEEE Int. Conf. Ima. Proc. 1996;. p. 457-460.
22. Worsley K., Friston K. Analysis of fMRI time-series revisited again. NeuroImage. 2:1995;173-181.
23. Xiong J., Gao J., Lancaster J., Fox P. T. Assessment and optimization of functional MRI analyses. Human Brain Mapping. 4:1996;153-167.
24. Zarahn E., Aguirre G., D'Esposito M. Empirical analysis of BOLD fMRI statistics. i. spatially unsmoothed data collected under null-hypothesis conditions. NeuroImage. 5:1997;179-197.
25. Zerubia J., Geiger D. Segmentation d'image et propagation de lignes. Lyon-Villeurbanne. 8eme congres de Reconnaissance des Formes et Intelligence Artificielle. 1991;661-668.