Interactive, GPU-based level sets for 3D segmentation

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

Volumn 2878, Issue , 2003, Pages 564-572

  Lefohn, Aaron E ^a   Cates, Joshua E ^a   Whitaker, Ross T ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN TUMOR SEGMENTATION; COMPUTER-AIDED SEGMENTATION TOOLS; LEVEL-SET SURFACE MODELS;

BRAIN; CHEMICAL ANALYSIS; COMPUTER GRAPHICS; MEDICAL IMAGING; PERSONAL COMPUTERS; PROBLEM SOLVING; TUMORS;

IMAGE SEGMENTATION;

EID: 0345686516     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39899-8_70     Document Type: Article

References (12)

1. Kaus, M., Warfield, S.K., Nabavi, A., Black, P.M., Jolesz, F.A., Kikinis, R.: Automated segmentation of mri of brain tumors. Radiology 218 (2001) 586-591
2. Warfield, S.K., Kaus, M., Jolesz, F.A., Kikinis, R.: Adaptive, template moderated, spatially varying statistical classification. Medical Image Analysis 4 (2000) 43-45
3. Sethian, J.A.: Level Set Methods and Fast Marching Methods Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. Cambridge University Press (1999)
4. Whitaker, R.T.: Volumetric deformable models: Active blobs. In Robb, R.A., ed.: Visualization In Biomedical Computing 1994, Mayo Clinic, Rochester, Minnesota, SPIE (1994) 122-134
5. Malladi, R., Sethian, J.A., Vemuri, B.C.: Shape modeling with front propogation: A level set approach. IEEE Trans. on Pattern Analysis and Machine Intelligence 17 (1995) 158-175
6. Osher, S., Sethian, J.: Fronts propogating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79 (1988) 12-49
7. Adalsteinson, D., Sethian, J.A.: A fast level set method for propogating interfaces. Journal of Computational Physics (1995) 269-277
8. Whitaker, R.T.: A level-set approach to 3D reconstruction from range data. International Journal of Computer Vision October (1998) 203-231
9. Lefohn, A., Kniss, J., Hansen, C., Whitaker, R.: Interactive deformation and visualization of level set surfaces using graphics hardware. In: IEEE Visualization. (2003) To Appear
10. Udupa, J., LeBlanc, V., Schmidt, H., Imielinska, C., Saha, P., Grevera, G., Zhuge, Y., Currie, L., Molholt, P., Jin, Y.: A methodology for evaluating image segmentation algorithms. In: Proceedings of SPIE Vol. 4684, SPIE (2002) 266-277
11. Warfield, S.K., Zou, K.H., Wells, W.M.: Validation of image segmentation and expert quality with an expectation-maximization algorithm. In: MICCAI 2002: Fifth International Conference on Medical Image Computing and Computer-Assisted Intervention, Heidelberg, Germany, Springer-Verlag (2002) 298-306
12. Lefohn, A., Cates, J., Whitaker, R.: Interactive, GPU-based level sets for 3D brain tumor segmentation: Supplementary information, http://www.sci.utah.edu/ lefohn/work/rls/tumorSeg (2003)