Logarithm odds maps for shape representation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4191 LNCS - II, Issue , 2006, Pages 955-963

  Pohl, Kilian M ^a,b   Fisher, John ^b   Shenton, Martha ^a   McCarley, Robert W ^a   Grimson, W Eric L ^b   Kikinis, Ron ^a   Wells, William M ^a,b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; IMAGE SEGMENTATION; INTERPOLATION; MATHEMATICAL MODELS; PROBABILISTIC LOGICS;

AGING PROCESS; QUADRATIC SPLINES; SUBCORTICAL STRUCTURES; TIME-CONTINUOUS SIMULATION;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; MATHEMATICAL COMPUTING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 79551687247     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866763_117     Document Type: Conference Paper

References (15)

1. M. Leventon, W. Grimson, and O. Faugeras, "Statistical shape influence in geodesic active contours," in CVPR, pp. 1316-1323, 2000.
2. A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, W. Grimson, and A. Willsky, "A shape-based approach to the segmentation of medical imagery using level sets," TMI, vol. 22, no. 2, pp. 137-154, 2003.
3. J. Yang, L. H. Staib, and J. S. Duncan, "Neighbor-constrained segmentation with level set based 3D deformable models," TMI, vol. 23, no. 8, pp. 940-948, 2004.
4. K. Pohl, J. Fisher, J. Levitt, M. Shenton, R. Kikinis, W. Grimson, and W. Wells, "A unifying approach to registration, segmentation, and intensity correction," in MICCAI, LNCS, pp. 310-318, 2005.
5. P. Golland, W. Grimson, M. Shenton, and R. Kikinis, "Detection and analysis of statistical differences in anatomical shape," MIA, vol. 9, pp. 69-86, 2005.
6. S. Bouix, Medial Surfaces. PhD thesis, McGill University, 2003.
7. D. Collins, A. Zijdenbos, W. Barre, and A. Evans, "ANIMAL+INSECT: Improved cortical structure segmentation," IPMI, vol. 1613, 1999.
8. K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, "Automated model-based tissue classification of MR images of the brain," TMI, vol. 18, no. 10, pp. 897-908, 1999.
9. B. Fischl, A. van der Kouwe, C. Destrieux, E. Halgren, F. Sgonne, D. Salat, E. Busa, L. Seidman, J. Goldstein, D. Kennedy, V. Caviness, N. Makris, B. Rosen, and A. Dale, "Automatically parcellating the human cerebral cortex," Cerebral Cortex, vol. 14, pp. 11-22, 2004.
10. K. M. Pohl, J. Fisher, W. Grimson, R. Kikinis, and W. Wells, "A bayesian model for joint segmentation and registration," Neuroimage, vol. 31, no. 1, pp. 228-239, 2006.
11. V. Arsigny, P. Fillard, X. Pennec, and N. Ayache, "Geometric means in a novel vector space structure on symmetric positive-definite matrices," SIAM JMAA, 2006.
12. K. Pohl, J. Fisher, R. Kikinis, W. Grimson, and W. Wells, "Shape based segmentation of anatomical structures in magnetic resonance images," in ICCV, vol. 3765 of LNCS, pp. 489-498, Springer-Verlag, 2005.
13. L. Dice, "Measure of the amount of ecological association between species," Ecology, vol. 26, no. 3, pp. 297-302, 1945.
14. L. Zöllei, E. Learned-Miller, W. Grimson, and W. Wells, "Efficient population registration of 3D data," in ICCV, vol. 3765 of LNCS, pp. 291-301, 2005.
15. K. Pohl, S. Bouix, R. Kikinis, and W. Grimson, "Anatomical guided segmentation with non-stationary tissue class distributions in an expectation-maximization framework," in ISBI, (Arlington, VA, USA), pp. 81-84, 2004.