Electric field theory motivated graph construction for optimal medical image segmentation

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

Volumn 5534 LNCS, Issue , 2009, Pages 334-342

  Yin, Yin ^a   Song, Qi ^a   Sonka, Milan ^a  

^a University of Iowa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC-FIELD DIRECTIONS; GRAPH CONSTRUCTION; GRAPH STRUCTURES; GRAPH-CONSTRUCTION METHOD; MEDICAL IMAGE SEGMENTATION; MULTI-SURFACE; MULTIOBJECT; MUTUAL INTERACTION; SURFACE MAPPING; SURFACE SEGMENTATION; SURFACE SHAPE;

DIGITAL IMAGE STORAGE; ELECTRIC FIELDS; ELECTRIC PROPERTIES; GRAPHIC METHODS; PATTERN RECOGNITION;

IMAGE SEGMENTATION;

EID: 70349819815     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02124-4_34     Document Type: Conference Paper

References (11)

1. Wu, X., Chen, D.Z.: Optimal net surface problem with applications. In: Widmayer, P., Triguero, F., Morales, R., Hennessy,M., Eidenbenz, S., Conejo, R. (eds.) ICALP 2002. LNCS, vol.2380, pp. 1029-1042. Springer, Heidelberg (2002)
2. Li, K., Millington, S., Wu, X., Chen, D.Z., Sonka, M.: Simultaneous segmentation of multiple closed surfaces using optimal graph searching. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol.3565, pp. 406-417. Springer, Heidelberg (2005)
3. Li, K., Wu, X., Chen, D.Z., Sonka, M.: Optimal surface segmentation in volumetric images - a graph-theoretic approach. IEEE Trans. Pattern Anal. and Machine Intelligence 28(1), 119-134 (2006)
4. Zhao, F., Zhang, H., Walker, N.E., Yang, F., Olszewski, M.E., Wahle, A., Scholz, T., Sonka, M.: Quantitative analysis of two-phase 3D+time aortic MR images. SPIE Medical Imaging, vol.6144, pp. 699-708 (2006)
5. Haeker, M., Wu, X., Abramo., M., Kardon, R., Sonka, M.: Incorporation of regional information in optimal 3-D graph search with application for intraretinal layer segmentation of optical coherence tomography images. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol.4584, pp. 607-618. Springer, Heidelberg (2007)
6. Heimann, T., Munzing, S., Meinzer, H., Wolf, I.: A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol.4584, pp. 1-12. Springer, Heidelberg (2007)
7. Garvin, M.K., Abramo., M.D., Kardon, R., Russell, S.R., Wu, X., Sonka, M.: Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search. IEEE Trans. Med. Imaging 27(10), 1495-1505 (2008)
8. Yin, Y., Zhang, X., Sonka, M.: Optimal multi-object multi-surface graph search segmentation: Full-joint cartilage delineation in 3D. In: Medical Image Understanding and Analysis 2008, pp. 104-108 (2008)
9. Li, K., Jolly, M.P.: Simultaneous detection of multiple elastic surfaces with application to tumor segmentation in ct images. In: Proc. SPIE, vol.6914, pp. 69143S- 69143S-11 (2008)
10. Kainmueller, D., Lamecker, H., Zachow, S., Heller, M., Hege, H.C.: Multi-object segmentation with coupled deformable models. In: Proc. of Medical Image Understanding and Analysis, pp. 34-38 (2008)
11. Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26, 297-302 (1945)