Prostate segmentation in echographic images: A variational approach using deformable super-ellipse and rayleigh distribution

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 129-132

  Saroul, Laurent ^a   Bernard, Olivier ^a   Vray, Didier ^a   Friboulet, Denis ^a  

^a UNIVERSITÉ DE LYON   (France)

Author keywords

Deformable super ellipse; Echography; Prostate; Rayleigh distribution; Segmentation; Variational active contours

Indexed keywords

ECHOCARDIOGRAPHY; IMAGE SEGMENTATION; TECHNICAL PRESENTATIONS;

DEFORMABLE SUPER-ELLIPSE; ECHOGRAPHY; PROSTATE; RAYLEIGH DISTRIBUTION; SEGMENTATION; VARIATIONAL ACTIVE CONTOURS;

DEFORMATION;

EID: 51049083607     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4540949     Document Type: Conference Paper

References (10)

1. Pathak, S. D., Chalana, V., Haynor, D. R., and Kim, Y., "Edge-guided boundary delineation in prostate ultrasound images," IEEE Transaction on Medical Imaging, 2000, Vol. 19, pp. 1211-1219.
2. Ladak, H., Fei, M., Wang, Y., Downey, D., Steinman, D. and Fenster, A., "Prostate segmentation from 2D ultrasound images," in Proceedings of the International Conference of Engineering in Medicine and Biology Society, 2000, Vol. 4, pp. 3188-3191.
3. Noble, J.A., Boukerroui, D., "Ultrasound image segmentation: a survey," in IEEE Transactions on Medical Imaging", 2006, Vol. 25, No8, pp. 987-1010.
4. Hodge, A. C., Fenster, A., Downey, D. B. and Ladak, H. M., "Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimisation and extension to 3D," in Journal of Computer Methods and Programs in Biomedicine, 2006, Vol. 84, No 2, pp. 99-113.
5. Gong, L.P., Pathak, S.D., Haynor, D.R., Cho, P.S. and Kim, Y., "Parametric shape modeling using deformable super-ellipses for prostate segmentation," in IEEE Transactions on Medical Imaging, 2004, Vol. 23, No3, pp. 340-349.
6. Taron, M., Paragios, N. and Jolly, M.P., "Border detection on short axis echocardiographic views using a region based ellipse-driven framework," in Proceedings of MICCAI 2004, Springer-Verlag, Vol. 3216, pp. 443-450.
7. Chan, T., Vese, L., "Active contours without edges," in IEEE Transactions on Image Processing, 2001, Vol. 10, pp. 266-277.
8. Sarti, A.C., Mazzini, E. and Lamberti, C., "Maximum likelihood segmentation of ultrasound images with Rayleigh distribution," in IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2005, Vol. 52, No6, pp. 947-960.
9. Zhu, S., Yuille, A., "Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation," In IEEE Transaction on Pattern Analysis and Machine Intelligence, 1996, Vol. 18, pp. 884-900.
10. Bernard, O., Touil, B., Gelas, A., Prost, R., and Friboulet, D., "Segmentation of myocardial regions in echocardiography using the statistics of the radio-frequency signal" in Proceedings of Functional Imaging and Modeling of the Heart (FIMH'07), 2007, pp. 433-442.