Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/76951
Título: Energy functions for the segmentation of ultrasound volume data using active rays
Autores/as: Martín, M.
Rodríguez, E.
Tejada, D.
Alberola, C.
Ruíz, J.
Clasificación UNESCO: 3325 Tecnología de las telecomunicaciones
Fecha de publicación: 2000
Editor/a: Institute of Electrical and Electronics Engineers (IEEE) 
Publicación seriada: Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing 
Conferencia: 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 
Resumen: In this paper we address the problem of ultrasound volume data segmentation by means of active contours. The segmentation is performed on an slicc-by-slice basis but exploiting the high correlation that exists across nearby slices. We have used active rays to alleviate the computational load of the optimization process. Classical energy functions have trouble finding the optimal solution in speckle imagery. We therefore propose new energy functions that work well under this type of images. Moreover, we propose both a probabilistic relaxation scheme and a heuristic search of the minimal energy configuration to end up making a hybrid use of both. We compare two rendered surfaces to illustrate the smoothness of our reconstruction.
URI: http://hdl.handle.net/10553/76951
ISBN: 0-7803-6293-4
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2000.859293
Fuente: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings [ISSN 1520-6149], v. 4, p. 2274-2277, (Enero 2000)
Colección:Actas de congresos
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