Knowledge based classification and tissue labeling of magnetic resonance images of human brain

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 1905, Issue , 1993, Pages 554-565

  Li, Chunlin ^a   Hall, Lawrence O ^a   Goldgof, Dmitry B ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; EXPERT SYSTEMS; IMAGE CLASSIFICATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; SEARCH ENGINES; TISSUE; TISSUE ENGINEERING; VISUALIZATION;

AUTOMATIC CLASSIFICATION; FOCUS OF ATTENTION; KNOWLEDGE-BASED APPROACH; KNOWLEDGE-BASED CLASSIFICATION; REGIONS OF INTEREST; TISSUE DISTRIBUTIONS; UNSUPERVISED ALGORITHMS; UNSUPERVISED CLUSTERING ALGORITHM;

CLUSTERING ALGORITHMS;

EID: 84988151094     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.148667     Document Type: Conference Paper

References (16)

1. A. P. Dhawan L. Arata. Knowledge-based 3d analysis from 2d medical images. IEEE Engineering in Medicine and Biology, 10(4):30-37, 1991.
2. R. T. Chin and C. R. Dyer. Model-based recognition in robot vision. ACM Computing Surveys, 18(1):67-108, 1986.
3. S. Dellepiane, C. Ventnri. and C. Veriiazza. A fuzzy model lor the processing and recognition of mr pathological images. In IPMI'91 pages 444-457, 1991.
4. H. Freeman. Computer processing of line-drawing images. ACM Computing Surveys, 6(1):57-97, 1974.
5. K. S. Fu and J. K. Mni. A survey on image segmentation. Pattern Recognition, 13:3-16, 1981.
6. G. Callus and P. W. Neurath. Improved computer chromosome analysis incorporating preprocessing and boundary analysis. Physics in Medicine and Biology, 15(3):435-545, 1970.
7. C. Gerig, J. Martin, and R. Kikinis et al. Automating segmentation of dual-echo mr head data. In The 12th International Conference of Information Processing in Medical Imaging (IPMI'91), 1991.
8. B. Horn. Robot vision. New York: McGraw-Hill, 1986.
9. A. K. Jain. Fundamentals of digital image processing. Englewood Cliffs, NJ: Prentice flail, 1989.
10. C. Li, D. B. Goldgof, and L. O. Hall. Towards automatic classification and tissue labeling of mr brain images. In IAPR Workshop on Structural and Syntactic Pattern Recognition. 1992. Bern. Switzerland.
11. S. P. Raya. Low level segmentation of 3-d magnetic resonance brain images a rule-based system. IEEE Transactions on Medical Imaging, 9(3):327-337, 1990.
12. R. Reiter. A logic for default reasoning. Artificial Intelligence, 13(1 and 2):81-132, 1980.
13. H. N. Schnitzlein and F. Reed Murtagh. Imaging anatomy of the head and spine: a photographic color atlas of MRI, CT, gross, and microscopic anatomy in axial, coronal, and sagittal planes. Baltimore: Urban & Schwarzenberg, second edition, 1990.
14. J. Serra. Image analysis and mathematical morphology. London; New York: Academic Press, 1982.
15. Zhenyu Wu and Richard Leahy. Image segmentation via edge contour finding: A graph theoretic approach. In IEEE Computer Vision and Pattern Recognition. pages 613 619, 1992.
16. H.-J. Zimmermann. Fuzzy set theory and its application. Boston: Kluwer Academic Publishers, second edition, 1991.