A locally deformable statistical shape model

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

Volumn 7009 LNCS, Issue , 2011, Pages 51-58

  Last, Carsten ^a   Winkelbach, Simon ^a   Wahl, Friedrich M ^a   Eichhorn, Klaus W G ^b   Bootz, Friedrich ^b  

^a TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^b Klinik und Poliklinik fuer HNO Heilkunde/Chirurgie   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL VARIATIONS; COMPLEX STRUCTURE; CONTOUR POINTS; GLOBAL FITTING; LOCAL SOLUTION; MEDICAL IMAGE SEGMENTATION; REFERENCE DATA; SMOOTHNESS CONSTRAINTS; STATISTICAL MODELS; STATISTICAL SHAPE MODEL; TIME-CONSUMING TASKS; TRAINING SAMPLE;

COMPUTER AIDED INSTRUCTION; DEFORMATION; IMAGE SEGMENTATION; LEARNING SYSTEMS; MEDICAL PROBLEMS; SAMPLING;

MEDICAL IMAGING;

EID: 80054000476     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24319-6_7     Document Type: Conference Paper

References (20)

1. Amberg, M., Lüthi, M., Vetter, T.: Local regression based statistical model fitting. In: Goesele, M., Roth, S., Kuijper, A., Schiele, B., Schindler, K. (eds.) DAGM 2010. LNCS, vol. 6376, pp. 452-461. Springer, Heidelberg (2010)
2. Bronshtein, I., Semendyayev, K., Musiol, G., Mühlig, H.: Handbook of Mathematics, 5th edn. Springer, New York (2007)
3. de Bruijne, M., van Ginneken, B., Viergever, M.A., Niessen, W.J.: Adapting active shape models for 3D segmentation of tubular structures in medical images. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 136-147. Springer, Heidelberg (2003)
4. Cootes, T., Taylor, C.: Combining point distribution models with shape models based on finite element analysis. Image and Vision Comput. 13(5), 403-409 (1995)
5. Cootes, T., Taylor, C.: Data driven refinement of active shape model search. In: Proceedings of the British Machine Vision Conference, pp. 383-392 (1996)
6. Cootes, T., Taylor, C., Cooper, D., Graham, J.: Active shape models - their training and application. Computer Vision and Image Understanding 61(1), 38-59 (1995)
7. Davatzikos, C., Tao, X., Shen, D.: Hierarchical active shape models, using the wavelet transform. IEEE Transactions on Medical Imaging 22(3), 414-423 (2003)
8. Gibbons, J., Chakraborti, S.: Nonparametric Statistical Inference, 5th edn. CRC Press, Boca Raton (2010)
9. Heimann, T., Meinzer, H.: Statistical shape models for 3d medical image segmentation: A review. Medical Image Analysis 13(4), 543-563 (2009)
10. Last, C., Winkelbach, S., Wahl, F., Eichhorn, K., Bootz, F.: A model-based approach to the segmentation of nasal cavity and paranasal sinus boundaries. In: Goesele, M., Roth, S., Kuijper, A., Schiele, B., Schindler, K. (eds.) DAGM 2010. LNCS, vol. 6376, pp. 333-342. Springer, Heidelberg (2010)
11. Leventon, M., Grimson, W., Faugeras, O.: Statistical shape influence in geodesic active contours. In: Proc. of CVPR. pp. 316-323 (2000)
12. Lötjönen, J., Antila, K., Lamminmäki, E., Koikkalainen, J., Lilja, M., Cootes, T.F.: Artificial enlargement of a training set for statistical shape models: Application to cardiac images. In: Frangi, A., Radeva, P., Santos, A., Hernandez, M. (eds.) FIMH 2005. LNCS, vol. 3504, pp. 92-101. Springer, Heidelberg (2005) (Pubitemid 41322388)
13. Nain, D., Haker, S., Bobick, A., Tannenbaum, A.: Multiscale 3-d shape representation and segmentation using spherical wavelets. IEEE Transactions on Medical Imaging 26(4), 598-618 (2007)
14. Nelder, J., Mead, R.: A simplex method for function minimization. The Computer Journal 7(4), 308-313 (1965)
15. Rilk, M., Wahl, F., Eichhorn, K., Wagner, I., Bootz, F.: Path planning for robot-guided endoscopes in deformable environments. In: Kröger, T., Wahl, F. (eds.) Advances in Robotics Research, pp. 263-274. Springer, Heidelberg (2009)
16. Shang, Y., Dössel, O.: Statistical 3d shape-model guided segmentation of cardiac images. In: Computers in Cardiology, vol. 31, pp. 553-556 (2004)
17. Shen, D., Herskovits, E., Davatzikos, C.: An adaptive-focus statistical shape model for segmentation and shape modeling of 3-d brain structures. IEEE Transactions on Medical Imaging 20(4), 257-270 (2001)
18. Tsai, A., Yezzi Jr., A., Wells, W., Tempany, C., Tucker, D., Fan, A., Grimson, W., Willsky, A.: A shape-based approach to the segmentation of medical imagery using level sets. IEEE Transactions on Medical Imaging 22(2), 137-154 (2003)
19. Weese, J., Kaus, M., Lorenz, C., Lobregt, S., Truyen, R., Pekar, V.: Shape constrained deformable models for 3D medical image segmentation. In: Insana, M., Leahy, R. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 380-387. Springer, Heidelberg (2001) (Pubitemid 33293292)
20. Zhao, Z., Aylward, S., Teoh, E.: A novel 3D partitioned active shape model for segmentation of brain MR images. In: Duncan, J., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 221-228. Springer, Heidelberg (2005) (Pubitemid 43828254)