Map segmentation of magnetic resonance images using mean field annealing

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 1452, Issue , 1991, Pages 225-243

  Logenthiranf, Ambalavaner ^a   Snyderj, Wesley E ^b   Santago, Peter ^b   Linkj, Kerry M ^a  

^a LUCENT TECHNOLOGIES   (United States)

^b WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION; GAUSSIAN NOISE (ELECTRONIC); IMAGE DENOISING; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; WHITE NOISE; COMPUTER PROGRAMMING--ALGORITHMS; IMAGE PROCESSING; PROBABILITY; STATISTICAL METHODS;

ADDITIVE WHITE GAUSSIAN NOISE; MAP SEGMENTATION; MEAN FIELD ANNEALING; NOISE REMOVAL; REGION CLASSIFICATIONS; STATISTICAL MODELING;

IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

MAXIMUM A POSTERIOI; MEAN FIELD ANNEALING;

EID: 0025901955     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.45386     Document Type: Conference Paper

References (24)

1. David C. Baker and J. K. Aggarwal. Geometry guided segmentation of outdoor scenes. In SPIE Applications of Artificial Intelligence VI, pages 576-583, 1988.
2. Dana Ballard and Christopher Brown. Computer Vision. Prentice-Hall, Englewood Cliffs, NJ, 1982.
3. J. Besag. On the Statistical Analysis of Dirty Pictures. Journal of the Royal Statistical Society B, 48(3):259-302, 1986.
4. G. L. Bilbro and W. E. Snyder. Range image restoration using mean field annealing. In D. S. Touretzky, editor, Advances in Neural Information Pressing Systems I, pages 594-601. Morgan Kaufmann, San Mateo CA, 1989.
5. G. L. Bilbro and W. E. Snyder. Mean field annealing: An application to image noise removal. Journal of Neural Network Computing, Fall 1990.
6. G.L. Bilbro, T.K. Miller, W.E. Snyder, D. VandenBout, M. White, and R. Mann. Simulated Annealing using the Mean Field Approximation. In Advances in Neural Network Information Processing Systems. Morgan-Kauffman, San Matao, 1989.
7. Hsuan Chang and Michael J. Fitzpatrick. Geometrical image transformation to compensate for MRI distortions. In SPIE Vol 1233 Medical Imaging IV, pages 116-127, February 1990.
8. H. H. Ehricke. Problems and approaches for tissue segmentation in 3D-MR imaging. Proceedings of the SPIE Vol. 1233 Medical Imaging IV: Image Processing, pages 128-137, February 1990.
9. M. Vannier et al. Multispectral analysis of magnetic resonance images. Radiology, pages 221-224, January 1989.
10. D. Geman and S. Geman. Stochastic Relaxation, Gibbs Distributions, and the Bayesian restoration of images. IEEE Transactions on PAMI, PAMI-6(6):721-741, November 1984.
11. R. Gonzalez and P. Wintz. Digital Image Processing. Addison Wesley, Reading, Mass, 1987.
12. F. R. Hansen and H. Elliott. Image Segmentation Using Simple Markov Field Models. Computer Graphics and Image Processing, 20:101-132, 1982.
13. Robert M. Haralick and Linda G. Shapiro. Image segmentation techniques. Computer Vision, Graphics, and Image Processing, 29:100-132, 1985.
14. H. P. Hiriyannaiah, G. L. Bilbro, W. E. Snyder, and R. C. Mann. Restoration of Piece-wise Constant Images using Mean Field Annealing. Journal of the Optical Society of America A, 6(12):1901-1912, December 1989.
15. H. P. Hiriyannaiah, W. E. Snyder, and G. L. Bilbro. Noise in Reconstructed images in Tomography: Parallel, Fan and Cone Beam Projections. In Proceedings of the Third Annual IEEE Symposium on Computer-Based Medical Systems, pages 81-88, Chapel Hill, NC, June 1990.
16. Avinash C. Kak and Azriel Rosenfeld. Digital Picture Processing, volume 1. Academic Press, New York, second edition, 1982.
17. R. L. Kashyap and R. Chellappa. Estimation and choice of neighbors in spatial-interaction model of images. IEEE Trans. Information Theory, IT-29:60-72, January 1983.
18. Rae H. Lee and Richard Leahy. Multi-spectral tissue classification of MR images using sensor fusion approaches. Proceedings of the SPIE Vol. 1233 Medical Imaging IV: Image Processing, pages 149-157, February 1990.
19. A. Logenthiran. Segmentation of magnetic resonance images using mean field annealing. MS Thesis, North Carolina State University, December 1990.
20. P. G. Morris. Nuclear Magnetic Resonance Imaging in Medicine and Biology. Clarendon Press, Oxford, 1986.
21. Stephen Shemlon and Stanley M. Dunn. Rule-based interpretation with models of expected structure. In SPIE Vol. 1233 Medical Imaging IV, pages 33-44, February 1990.
22. W. E. Snyder, G. L. Bilbro, A. Logenthiran, and S. A. Rajala. Optimal thresholding- A new approach. Pattern Recognition Letters, pages 803-809, December 1990.
23. P. J. M. van Laarhoven and E. H. L. Aarts. Simulated Annealing: Theory and Applications. D. Reidel, Norwell, Mass, 1988.
24. G. Wolberg and T. Pavlidis. Restoration of binary images using stochastic relaxation with annealing. Pattern Recognition Letters, 3(6):375-388, December 1985.