Prediction coefficient estimation in Markov random fields for iterative X-ray CT reconstruction

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8314, Issue , 2012, Pages

  Wang, Jiao ^a   Sauer, Ken ^a   Thibault, Jean Baptiste ^b   Yu, Zhou ^b   Bouman, Charles ^c  

^a University of Notre Dame   (United States)

^b GE HEALTHCARE   (United States)

^c Purdue University   (United States)

Author keywords

A priori density; Bayesian estimation; CT reconstruction; Markov random fields

Indexed keywords

A-PRIORI PROBABILITIES; ALTERNATIVE DESIGNS; BAYESIAN ESTIMATIONS; BONE STRUCTURE; CHARACTERISTIC SHAPES; CLASSICAL FILTERS; CT RECONSTRUCTION; DIFFERENT FREQUENCY; FILTERED BACK-PROJECTION; HIGH QUALITY; HIGHER FREQUENCIES; IMAGE ESTIMATION; IMAGE MODELS; LOW-PASS; MARKOV RANDOM FIELD; MARKOV RANDOM FIELDS; NUMBER OF DEGREES OF FREEDOM; PASS BANDS; POTENTIAL BENEFITS; PRIOR INFORMATION; PRIORI DISTRIBUTION; PRIORI MODEL; PROBABILITY OF OCCURRENCE; RANDOM FIELDS; SPATIAL CORRELATIONS; SPATIAL FREQUENCY; SPECTRAL RESPONSE; STATISTICAL APPROACH; TISSUE TYPES; X-RAY CT;

BAYESIAN NETWORKS; BONE; IMAGE PROCESSING; MEDICAL IMAGING;

ESTIMATION;

EID: 84860737765     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.912425     Document Type: Conference Paper

References (11)

1. Dubes, R. C. and Jain, A. K., "Random field models in image analysis," Journal of Applied Statistics 16(2), 131-164 (1989).
2. Thibault, J.-B., Sauer, K., Bouman, C., and Hsieh, J., "A three-dimensional statistical approach to improved image quality for multi-slice helical CT," Medical Physics 34(11), 4526-4544 (2007). (Pubitemid 350029675)
3. Hsieh, J., [Computed Tomography, principles, design, artifacts, and new development], SPIE Press, Bellingham (2001).
4. Lakshmanan, S. and Derin, H., "Valid parameter space for 2-D Gaussian Markov random fields," IEEE Trans. on Information Theory 39(2), 703-709 (1993).
5. Stayman, J. W. and Fessler, J. A., "Regularization for uniform spatial resolution properties in penalized-likelihood image reconstruction, " IEEE Trans. on Medical Imaging 19(6), 601-615 (2000).
6. Stayman, J. W. and Fessler, J. A., "Compensation for nonuniform resolution using penalized-likelihood reconstruction in space-variant imaging systems," IEEE Trans. on Medical Imaging 23(3), 269-284 (2004).
7. Wang, J., Sauer, K. D., Thibault, J.-B., Yu, Z., and Bouman, C. A., "Spectrally focused Markov random field image modeling in 3D CT," in [Proc. Int'l Conf. on Fully 3D Reconstruction in Radiology and Nuclear Medicine], (2011).
8. Borman, S., Sauer, K., and Bouman, C., "Nonlinear prediction methods for estimation of clique weighing parameters in non-Gaussian image models," in [Proc. of SPIE Conf. on Bayesian Inference for Inverse Problems], 3459, 369-377 (1998).
9. Tay, D. and Kingsbury, N. G., "Design of nonseparable 3-D filter banks/wavelet bases using transformation of variables," Proc. of the IEEE 143(1), 51-61 (1996).
10. Mollova, G. and Mecklenbrauker, W. F. G., "A design method for nonseparable 3-D FIR cone-shaped filters based on McClellan transformation, " IEEE Trans. on Signal Processing 57(2), 551-564 (2009).
11. DeMan, B., Basu, S., Chandra, N., Dunham, B., Edie, P., Iatrou, M., McOlash, S., Sainath, P., Shaughnessy, C., Tower, B., and Williams, E., "CATSIM: A new Computer Assisted Tomography SIMulation environment," in [Proceedings SPIE Medical Imaging Conference], (2007).