Segmentation par modèle déformable des régions osseuses de la tête dans les volumes IRM Segmentation of the skull in MRI volumes using deformable model
نویسنده
چکیده
and key words In this paper, we present a new approach for segmenting regions of bone in MRI volumes using a deformable model . Our method takes into account the partial volume effects that occur with MRI data, thus permitting a precise segmentation of these bone regions . Partial volume is estimated, in a narrow band around the deformable model, at each iteration of the propagation of the model . Segmentation of the skull in medical imagery is an important stage in applications that require the construction of realistic models of the head . Such models are used, for example, to simulate the behavior of electromagnetic fields in the head and to model the electrical activity of the cortex in EEG andMEG data . Our segmentation method begins with a pre-segmentation stage, in which a preliminary segmentation of the skull is constructed using a region-growing method . The surface which bounds the pre-segmented skull region offers an automatic 3D initialization of the deformable model . This surface is propagated (in 3D) in the direction of its normal . This propagation is achieved using level set method, thus permitting changes to occur in the topology of the surface as it evolves, an essential capability for our problem . The speed at which the surface evolves is a function of the estimated partial volume. This provides a sub-voxel accuracy in the resulting segmentation . Segmentation of the skull, MRI volumes, 3D deformable model, level sets, partial volume estimation . Segmentation des régions osseuses de la tête
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