Model-based segmentation of abdominal aortic aneurysms in CTA images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5032 III, Issue , 2003, Pages 1560-1571

  De Bruijne, Marleen ^a   Van Ginneken, Bram ^a   Niessen, Wiro J ^a   Loog, Marco ^a   Viergever, Max A ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Abdominal aortic aneurysm; Active shape model; Blood vessels; Classification; CT; Image segmentation

Indexed keywords

ANGIOGRAPHY; BLOOD VESSELS; COMPUTERIZED TOMOGRAPHY; ESTIMATION; PROBABILITY;

ABDOMINAL AORTIC ANEURYSMS;

IMAGE SEGMENTATION;

EID: 0041419386     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.481367     Document Type: Conference Paper

References (37)

1. I. Broeders, J. Blankensteijn, A. Gvakharia, J. May, P. Bell, J. Swedenborg, J. Collin, and B. Eikelboom, "The efficacy of transfemoral endovascular aneurysm management: A study on size changes of the abdominal aorta during mid-term follow-up," European Journal of Vascular and Endovascular Surgery 14(2), pp. 84-90, 1997.
2. J. Wever, J. Blankensteijn, W. Mali, and B. Eikelboom, "Maximum aneurysm diameter follow-up is inadequate after endovascular abdominal aortic aneurysm repair," European Journal of Vascular and Endovascular Surgery 20(2), pp. 177-182, 2000.
3. B. Czermak, G. Fraedrich, M. Schocke, I. Steingruber, P. Waldenberger, R. Perkmann, M. Rieger, and W. Jaschke, "Serial CT volume measurements after endovascular aortic aneurysm repair," Journal of Endovascular Therapy 8(4), pp. 380-389, 2001.
4. J. Pollock, S. Travis, S. Whitaker, I. Davidson, R. Gregson, B. Hopkinson, P. Wenham, and S. MacSweeney, "Endovascular AAA repair: Classification of aneurysm sac volumetric change using spiral computed tomographic angiography," Journal of Endovascular Therapy 9(2), 2002.
5. R. Balm, R. Kaatee, J. Blankensteijn, W. Mali, and B. Eikelboom, "CT-Angiography of abdominal aortic aneurysms after transfemoral endovascular aneurysm management," European Journal of Vascular and Endovascular Surgery 12(2), pp. 182-188, 1996.
6. J. Wever, J. Blankensteijn, J. van Rijn, I. Broeders, B. Eikelboom, and W. Mali, "Inter- and intra-observer variability of CTA measurements obtained after endovascular repair of abdominal aortic aneurysms," American Journal of Roentgenology 175(5), pp. 1297-1282, 2000.
7. M. Fiebich, M. Tomiak, R. Engelmann, J. McGilland, and K. Huffman, "Computer assisted diagnosis in CT angiography of abdominal aortic aneurysms," in Medical Imaging: Image Processing, K. Hanson, ed., Proceedings of SPIE 3034, pp. 86-94, SPIE Press, 1997.
8. A. Bulpitt and E. Berry, "Spiral CT of abdominal aneurysms: comparison of segmentation with an automatic 3D deformable model and interactive segmentation," in Medical Imaging: Image Processing, K. Hanson, ed., Proceedings of SPIE 3338, pp. 938-946, SPIE Press, 1998.
9. G. Rubin, D. Paik, P. Johnston, and S. Napel, "Measurement of the aorta and its branches with helical CT," Radiology 206, pp. 823-829, Mar 1998.
10. O. Wink, W. Niessen, and M. Viergever, "Fast delineation and visualization of vessels in 3-D angiographic images," IEEE Transactions on Medical Imaging 19(4), pp. 337-346, 2000.
11. H. Tek, D. Comaniciu, and J. Williams, "Vessel detection by mean shift-based ray propagation," in IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, L. Staib and A. Rangarajan, eds., IEEE Computer Society Press, 2001.
12. R. Pohle and K. Toennies, "A new approach for model-based adaptive region growing in medical image analysis," in Computer Analysis of Images and Patterns, W. Skarbek, ed., Lecture Notes in Computer Science 2124, pp. 238-246, Springer, 2001.
13. J. Weese, M. Kaus, C. Lorenz, S. Lobregt, R. Truyen, and V. Pekar, "Shape constrained deformable models for 3D medical image segmentation," in Information Processing in Medical Imaging, M. Insana and R. Leahy, eds., Lecture Notes in Computer Science 2082, pp. 380-387, Springer, 2001.
14. D. Magee, A. Bulpitt, and E. Berry, "Combining 3D deformable models and level set methods for the segmentation of abdominal aortic aneurysms," in Proceedings of the British Machine Vision Conference, T. Cootes and C. Taylor, eds., pp. 119-126, The British Machine Vision Association, 2001.
15. A. Giachetti, M. Tuveri, and G. Zanetti, "Reconstruction and web distribution of measurable arterial models," Medical Image Analysis 7(1), pp. 79-93, 2002.
16. M. de Bruijne, W. Niessen, J. Maintz, and M. Viergever, "Localization and segmentation of aortic endografts using marker detection," IEEE Transactions on Medical Imaging, 2003. In Press.
17. L. Wilson, S. Brown, J. Young, R. Li, and L. Brandt, "Three-dimensional computer models of abdominal aortic aneurysms by knowledge-based segmentation," in Computer Assisted Radiology and Surgery, H. Lemke, M. Vannier, K. Inamura, and A. Farman, eds., Excerpta Medica International Congress Series 1191, pp. 213-217, Elsevier Publishers, 1999.
18. M. Subasic, S. Loncaric, and E. Sorantin, "3D image analysis of abdominal aortic aneurysm," in Medical Imaging: Image Processing, M. Sonka and M. Fitzpatrick, eds., Proceedings of SPIE 4684, pp. 1681-1689, SPIE Press, 2002.
19. L. Staib and J. Duncan, "Model based deformable surface finding for medical images," IEEE Transactions on Medical Imaging 15(5), 1996.
20. G. Székely, A. Kelemen, C. Brechbühler, and G. Gerig, "Segmentation of 3D objects from MRI volume data using constrained elastic deformations of flexible Fourier surface models," Medical Image Analysis 1(1), pp. 19-34, 1996.
21. T. Cootes, C. Taylor, D. Cooper, and J. Graham, "Active shape models - their training and application," Computer Vision and Image Understanding 61(1), pp. 38-59, 1995.
22. T. Cootes and C. Taylor, "Statistical models of appearance for computer vision," tech. rep., University of Manchester, 2002.
23. A. Hill, A. Thornham, and C. Taylor, "Model-based interpretation of 3D medical images," in Proceedings of the British Machine Vision Conference, J. Illingworth, ed., pp. 339-348, The British Machine Vision Association, 1993.
24. T. Cootes, A. Hill, C. Taylor, and J. Haslam, "The use of active shape models for locating structures in medical images," Image and Vision Computing 12(6), pp. 355-366, 1994.
25. S. Solloway, C. Hutchinson, J. Waterton, and C. Taylor, "The use of active shape models for making thickness measurements of articular cartilage from MR images," Magnetic Resonance in Medicine 37(6), pp. 943-952, 1997.
26. N. Duta and M. Sonka, "Segmentation and interpretation of MR brain images: An improved active shape model," IEEE Transactions on Medical Imaging 17(6), pp. 1049-1067, 1998.
27. G. Hamarneh and T. Gustavsson, "Deformable spatio-temporal shape models: Extending ASM to 2d+time," in Proceedings of the British Machine Vision Conference, T. Cootes and C. Taylor, eds., The British Machine Vision Association, 2001.
28. S. Mitchell, B. Lelieveldt, R. van der Geest, H. Bosch, J. Reiber, and M. Sonka, "Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images," IEEE Transactions on Medical Imaging 20(5), pp. 415-423, 2001.
29. B. van Ginneken, A. Frangi, J. Staal, B. ter Haar Romeny, and M. Viergever, "Active shape model segmentation with optimal features," IEEE Transactions on Medical Imaging 21(8), pp. 924-933, 2002.
30. G. Behiels, F. Maes, D. Vandermeulen, and P. Suetens, "Evaluation of image features and search strategies for segmentation of bone structures in radiographs using active shape models," Medical Image Analysis 6(1), pp. 47-62, 2002.
31. M. de Bruijne, B. van Ginneken, W. Niessen, J. Maintz, and M. Viergever, "Active shape model based segmentation of abdominal aortic aneurysms in CTA images," in Medical Imaging: Image Processing, M. Sonka and M. Fitzpatrick, eds., Proceedings of SPIE 4684, pp. 463-474, SPIE Press, 2002.
32. C. Goodall, "Procrustes methods in the statistical analysis of shape," Journal of the Royal Statistical Society B 53(2), pp. 285-339, 1991.
33. I. Dryden and K. Mardia, Statistical Shape Analysis, Wiley Series in Probability and Statistics, 1998.
34. M. Rogers and J. Graham, "Robust active shape model search," in Proceedings of the European Conference on Computer Vision (ECCV'02), A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, eds., Lecture Notes in Computer Science 2353, pp. 517-530, Springer, 2000.
35. Y. Wang and L. Staib, "Statistical shape and smoothness models for boundary finding with correspondence," IEEE Transactions on Pattern Analysis and Machine Intelligence 22(7), pp. 738-743, 2000.
36. B. van Ginneken, M. de Bruijne, M. Loog, and M. Viergever, "Interactive shape models," in Medical Imaging: Image Processing, M. Sonka and M. Fitzpatrick, eds., Proceedings of SPIE 5032, SPIE Press, 2003. In Press.
37. J. Hug, C. Brechbühler, and G. Székely, "Model-based initialisation for segmentation," in Proceedings of the European Conference on Computer Vision (ECCV'00), Part II, D. Vernon, ed., Lecture Notes in Computer Science 1843, pp. 290-306, Springer, 2000.