Clustering dynamic PET images on the projection domain

IEEE Transactions on Nuclear Science

Volumn 54, Issue 3, 2007, Pages 496-503

  Kamasak, Mustafa E ^a   Bayraktar, Bulent ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Clustering; Dynamic PET; Kinetic models; Projection domain; Regularization

Indexed keywords

COMPUTER SIMULATION; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; PROJECTION SYSTEMS;

GAUSSIAN MIXTURES METHODS (GMM-EM); ITERATIVE COORDINATE DESCENT (ICD); KINETIC MODELS; PROJECTION DOMAIN; WEIGHTED LEAST SQUARES (WLS);

POSITRON EMISSION TOMOGRAPHY;

EID: 34250776413     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2007.893325     Document Type: Article

References (18)

1. J. Ashburner, J. Haslam, C. Taylor, V. J. Cunningham, and T. Jones, "A cluster analysis approach for the characterization of dynamic PET data," in Quantification of Brain Function Using PET, R. Myers, V. Cunningham, D. Bailey, and T. Jones, Eds. San Diego, CA: Academics, 1996, pp. 301-306.
2. K.-P. Wong, D. Feng, S. R. Meikle, and M. J. Fulham, "Segmentation of dynamic PET images using cluster analysis," IEEE Trans. Nucl. Sci., vol. 49, no. 1, pp. 200-207, Feb. 2002.
3. J. L. Chen, S. R. Gunn, M. S. Nixon, and R. N. Gunn, "Markov random field models for segmentation of PET images," in Proc. Information Processing in Medical Imaging, 2001, vol. 2082, pp. 468-474.
4. J. G. Brankov, N. P. Galatsanos, Y. Yang, and M. N. Wernick, "Segmentation of dynamic PET or fMRI images based on a similarity metric," IEEE Trans. Nucl. Sci., vol. 50, no. 5, pp. 1410-1414, Oct. 2003.
5. H. Guo, R. Renaut, and K. Chen, "Clustering for three dimensional kinetic PET data," in Proc. IEEE Int. Conf. Data Mining, Clustering Large Data Sets, Workshop Notes, Melbourne, FL, 2003, pp. 43-48.
6. H. Guo, R. Renaut, K. Chen, and E. Reiman, "Clustering huge data sets for parametric PET imaging," Biosystems, vol. 71, no. 1-2, pp. 81-92, 2003.
7. Y. Kimura, M. Senda, and N. Alpert, "Fast formation of statistically reliable FDG parametric images based on clustering and principal components," Phys. Med. Biol., vol. 47, pp. 455-468, Aug. 2002.
8. M. Liptrot, K. H. Adams, L. Martiny, L. H. Pinborg, M. N. Lonsdale, N. V. Olsen, S. Holm, C. Svarer, and O. M. Knudsen, "Cluster analysis in kinetic modelling of the brain: A noninvasive alternative to arterial sampling," Neurolmage, vol. 21, no. 2, pp. 483-493, 2004.
9. K.-P. Wong, D. Feng, S. R. Meikle, and M. J. Fulham, "Non-invasive extraction of physiological parameters in quantitative PET studies using simultaneous estimation and cluster analysis," in Proc. IEEE Medical Imaging Conf., Lyon, France, Oct. 2000, pp. 141-145.
10. T. Frese, C. A. Bouman, and K. Sauer, G. T. Herman and A. Kuba, Eds., "Multiscale bayesian methods for discrete tomography," in Discrete Tomography: Foundations, Algorithms and Applications. Cambridge, MA: Birkhauser, 1999, pp. 237-261.
11. C. A. Bouman and K. Sauer, "A unified approach to statistical tomography using coordinate descent optimization," IEEE Trans. Image Process., vol. 5, no. 3, pp. 480-492, Mar. 1996.
12. J. Besag, "On the statistical analysis of dirty pictures," J. Royal Statistical Society B, vol. 48, no. 3, pp. 259-302, 1986.
13. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Statistical Society B, vol. 39, no. 1, pp. 1-38, 1977.
14. H. Akaike, "A new look at the statistical model identification, " IEEE Trans. Autom. Control, vol. AC-19, no. 6, pp. 716-723, Dec. 1974.
15. G. Schwarz, "Estimating the dimension of a model," Ann. Stat., vol. 6, pp. 461-464, 1978.
16. M. E. Kamasak, C. A. Bouman, E. D. Morris, and K. Sauer, "Direct reconstruction of kinetic parameter images from dynamic PET data," IEEE Trans. Med. Imag., vol. 24, no. 5, pp. 636-650, May 2005.
17. K.-P. Wong, D. Feng, S. R. Meikle, and M. J. Fulham, "Simultaneous estimation of physiological parameters and the input function - In vivo PET data," IEEE Trans. Inf. Technol. Biomed., vol. 5, no. 1, pp. 67-76, Mar. 2001.
18. P. M. Bloomfield, T. J. Spinks, J. Reed, L. Schnorr, A. M. Westrip, L. Livieratos, R. Fulton, and T. Jones, "The design and implementation of a motion correction scheme for neurological PET," Phys. Med. Biol., vol. 48, no. 8, pp. 959-978, 2003.