Image processing framework for virtual colonoscopy

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

Volumn 5754 LNCS, Issue , 2009, Pages 965-974

  Bevilacqua, Vitoantonio ^a   Cortellino, Marco ^a   Piccinni, Michele ^a   Scarpa, Antonio ^a   Taurino, Diego ^a   Mastronardi, Giuseppe ^a   Moschetta, Marco ^b   Angelelli, Giuseppe ^b  

^a POLITECNICO DI BARI   (Italy)

^b POLICLINICO   (Italy)

Author keywords

Colon cleansing; CT Colonography; Image processing; Rendering; Segmentation; Skeletonization; Virtual Colonscopy

Indexed keywords

COLON CLEANSING; CT COLONOGRAPHY; RENDERING; SEGMENTATION; SKELETONIZATION; VIRTUAL COLONSCOPY;

COMPUTER SCIENCE; IMAGE PROCESSING; IMAGING SYSTEMS; NAVIGATION;

INTELLIGENT COMPUTING;

EID: 70350432599     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04070-2_102     Document Type: Conference Paper

References (25)

1. Greenlee, R.T., Murray, T., Bolden, S., Wingo, P.A.: Cancer statistics. Ca. Cancer J. Clin. 50, 7-33 (2000)
2. Lakare, S., Chen, D., Li, L., Kaufman, A., Liang, Z.: Electronic Colon Cleansing Using Segmentation Rays for Virtual Colonoscopy. Medical Imaging (2002)
3. Skalski, A., Socha, M., Zieliftski, T., Duplaga, M.: Colon Cleansing for Virtual Colonoscopy Using Non-linear Transfer Function and Morphological Operations. In: IEEE International Workshop on Imaging Systems and Techniques - IST (2007)
4. Tu, Z., Zhou, X(S.), Comaniciu, D., Bogoni, L.: A learning based approach for 3D segmentation and colon detagging. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3953, pp. 436-448. Springer, Heidelberg (2006)
5. Wang, Z., Liang, Z., Li, X., Li, L., Li, B., Eremina, D., Lu, H.: An Improved Electronic Colon Cleansing Method for Detection of Colo-nic Polyps by Virtual Colonoscopy. IEEE Transactions on Biomedical Engineering 53(8) (2006)
6. Serlie, I.W.O., Truyen, R., Florie, J., Post, F.H., van Vliet, L.J., Vos, F.M.: Computed Cleansing for Virtual Colonoscopy Using a Three-Material Transition Model. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, vol. 2879, pp. 175-183. Springer, Heidelberg (2003)
7. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis Machine Intelligence 12, 629-639 (1990)
8. Canny, J.: A Computational Approach To Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8, 679-714 (1986)
9. Blum, H.: A transformation for extracting new parameter of shape. In: Models for the Perception of Speech and Visual Form. MIT Press, Cambridge (1967)
10. Bitter, I., Kaufman, A.E., Sato, M.: Penalized-Distance Volumetric Skeleton Algorithm. IEEE Transactions on Visualization and Computer Graphics 7(3) (2001)
11. Chen, D., Li, B., Liang, Z., Wan, M., Kaufman, A., Wax, M.: A tree-branch searching, multi-resolution approach to skeletonization for virtual endoscopy. In: SPIE Medical Imaging 2000 (February 2000)
12. Iordanescu, G., Summers, R.M.: Automated centerline for computed tomography colonography. Academic Radiology 10(11), 1291-1301 (2003)
13. Sadleir, R.J.T., Whelan, P.F.: Fast colon centreline calculation using optimised 3D topological thinning. Comput. Med. Imaging Graph. 29(251-258) (2005)
14. Bouix, S., Siddiqi, K., Tannenbaum, A.: Flux driven automatic centerline extraction. Medical Image Analysis 9(3), 209-221 (2005)
15. Sethian, J.A.: Level Set Methods and Fast Marching Methods. Cambridge University Press, Cambridge (1996)
16. Deschamps, T., Cohenb, L.D.: Fast extraction of minimal paths in 3D images and applications to virtual endoscopy. Medical Image Analysis 1 (2001)
17. Dijkstra, E.W.: A note on two problem in connexion with graphs. Numerische Mathematik 1, 269-271 (1959)
18. Frimmel, H., Nappi, J., Yoshida, H.: Centerline-based colon segmentation in CTColonography. Medical Physics 32(8) (August 2005)
19. Chen, D., Hassouna, M.S., Farag, A.A., Falk, R.: An improved 2D colonic polyp segmentation framework based on gradient vector flow deformable model. In: Yang, G.-Z., Jiang, T.-Z., Shen, D., Gu, L., Yang, J. (eds.) MIAR 2006. LNCS, vol. 4091, pp. 372-379. Springer, Heidelberg (2006)
20. Näppi, J., Dachman, A.H., MacEneaney, P., Yoshida, H.: Automated Knowledge-Guided Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography (2002)
21. Masutani, Y., Yoshida, H., MacEneaney, P.M., Dachman, A.H.: Automated Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography (2001)
22. Wyatt, C.L., Ge, Y., Vining, D.J.: Segmentation in virtual colonoscopy using a geometric deformable model (2006)
23. Tu, Z., Zhou, X(S.), Comaniciu, D., Bogoni, L.: A learning based approach for 3D segmentation and colon detagging. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3953, pp. 436-448. Springer, Heidelberg (2006)
24. Näppi, J., Yoshida, H.: Centerline-based colon segmentation for CT colonography (2005)
25. Anisotropic mean shift based fuzzy C-means segmentation of dermoscopy images. IEEE Journal of Selected Topics in Signal Processing 3(1), 26-34 (2009)