Database-guided simultaneous multi-slice 3D segmentation for volumetric data

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

Volumn 3954 LNCS, Issue , 2006, Pages 397-409

  Hong, Wei ^b   Georgescu, Bogdan ^a   Zhou, Xiang Scan ^a   Krishuan, Sriram ^a   Ma, Yi ^b   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VIRUSES; DATABASE SYSTEMS; GUIDED ELECTROMAGNETIC WAVE PROPAGATION; IMAGE SEGMENTATION; THREE DIMENSIONAL COMPUTER GRAPHICS; ULTRASONIC IMAGING;

3-D NON-RIGID SHAPE ALIGNMENT METHOD; CARDIAC ULTRASOUND IMAGES; MEDICAL DATABASES; MULTI-SLICE 3D SEGMENTATION;

VOLUMETRIC ANALYSIS;

EID: 33745845440     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744085_31     Document Type: Conference Paper

References (15)

1. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 2 (1988) 321-331
2. T.F.Cootes, Edwards, G., C.J.Taylor: Active appearance models, In: Proc. 5tli European Conference on Computer Vision, Volume 2. (1998) 484-498
3. Shi, J., Malik, J.: Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000) 888-905
4. Comanicu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Machine Intell. 24 (2002) 603-619
5. Mitchell, S., Bosch, J., Lelieveldt, B., van der Geest, R., Reiber, J., Sonka, M.: 3-d active appearance models: segmentation of cardiac mr and ultrasound images, IEEE Transactions on Medical Imaging 21 (2002) 1167-1178
6. Stegmann, M.B.: Generative Interpretation of Medical Images. PhD thesis, Technical University of Denmark (2004)
7. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: European Conference on Computational Learning Theory, (1995) 23-37
8. Viola, P., Jones, M.: Rapid object.detection using a boosted cascade of simple features. In: Proceedings IEEE Conf. on Computer Vision and Pattern Recognition. (2001)
9. Georgescu, B., Zhou, X., Comaniciu, D., Gupta, A.: Database-guided segmentation of anatomical structures with complex appearance. In: Proceedings IEEE Conf. on Computer Vision and Pattern Recognition. (2005)
10. Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14 (1992) 239-256
11. Papageorgiou, C., Poggio, T.: A trainable system for object detection, Int. J. Cornput. Vision 38 (2000) 15-33
12. Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. WileyInterscience (1973)
13. Nadaraya, E.A.: On estimating regression, Theory Prob. Appl. 10 (1964) 186-190
14. Watson, G.S.: Smooth regression analysis. Sankhy a, Series A 26 (1964) 359-372
15. Epanechnikov, V.: Nonparametric estimates of a multivariate probability density. Theory of Probability and its Applications 14 (1969) 153-158