Fast medical image segmentation through an approximation of narrow-band B-spline level-set and multiresolution

Authors:
O. Bernard;D. Friboulet
Affiliations:
CREATIS, CNRS UMR 5220, Inserm U630, National Institute of Applied Sciences, Villeurbanne Cedex, France;CREATIS, CNRS UMR 5220, Inserm U630, National Institute of Applied Sciences, Villeurbanne Cedex, France
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

We have recently proposed a new level-set formulation, where the level-set is modelled as a continuous parametric function expressed in a B-spline basis. We propose in this paper to adapt this formalism to the class of narrow-band level-set methods, where the implicit function evolves only around its zero-level. For this purpose, we propose to model the interface by two lists of boundary points and we express the levelset evolution into the B-spline framework. We show that the flexibility of the method makes the algorithm well suited to the segmentation of 2-D and 3-D medical images. In particular, we introduce a multiresolution implementation of the method, yielding an efficient algorithm in term of computational time. The behavior of this approach is illustrated on medical images from various fields.