Segmentation of 3D Tubular Tree Structures in Medical Images ...

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[52] Hassouna, M., Farag, A., Hushek, S., and Moriarty, T. (2003). Statistical-based
approach for extracting 3d blood vessels from TOF-myra data. In Proc. Med. Image
Comput. Assist. Interv, pages 680–687.
[53] Hassouna, M. S. and Farag, A. A. (2007). On the extraction of curve skeletons using
gradient vector flow. In Proc. of ICCV, pages 1–8, Rio de Janeiro, Brazil.
[54] Hassouna, M. S. and Farag, A. A. (2009). Variational curve skeletons using gradient
vector flow. IEEE Transactions on Pattern Analysis and Machine Intelligence,
31(12):2257–2274.
[55] Hassouna, M. S., Farag, A. A., and Falk, R. (2005). Differential fly-throughs (DFT):
A general framework for computing flight paths. In Proc. of MICCAI, pages 654–661,
London, UK.
[56] Hoyos, M. H., Zuluaga, M. A., Lozano, M., Prieto, J. C., Douek, P. C., Magnin, I. E.,
and Orkisz, M. (2008). Coronary centerline tracking in CT images with use of an elastic
model and image moments. The Midas Journal.
[57] Irving, B., Taylor, P., and Todd-Pokropek, A. (2009). 3D segmentation of the airway
tree using a morphology based method. In International Workshop on Pulmonary Image
Analysis, Medical Image Computing and Computer Assisted Intervention, pages 297–
307.
[58] Jomir, J., LeDigarcher, V., and Aylward, S. (2005). Automatic vascular tree formulation
using the mahalanobis distance. In Proc. of MICCAI, pages 806–812.
[59] Kass, M., Witkin, A., and Terzopoulos, D. (1987). Snakes: Active contour models.
Int. J. Comput. Vision, 1:321–331.
[60] Kimmel, R. and Bruckstein, A. (2003). Regularized laplacian zero crossings as optimal
edge integrators. Int. J. Comput. Vision, 53(3):225–243.
[61] Kimmel, R., Peled, N., Holtzman-Gazit, M., and Goldsher, D. (2006). Segmentation
of thin structures in volumetric medical images. IEEE Trans. Image Process., 15(2):354–
363.
[62] Kirbas, C. and Quek, F. (2003). A review of vessel extraction techniques and algorithms.
IEEE Trans. Med. Imag., 20(2):117–131.