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The problem of the choice of slices angles, at the time of diagnosis of brain fetal malformations, is linked to the position of the fetus inside the uterus.The 3D reconstruction of intern parts ofthe brain and especially the callosus corpus can help to detect some malformations. This kind ofreconstruction pass by several steps that depend all on the initial segmentation step. The main difficulties of the segmentation are linked on the one hand to the inherent noise ofultrasound imaging and on the other hand to the matching of views ofthe 2D sequence to process.The 3D reconstruction stage require the defmition of a marker in the sequence to process. In agreement with physicians, we have used the cranial contour as reference on the one hand because it is considered as invariable and fixed and on the other hand because of its more pronounced contrast (due to the fact of its cartilaginous nature) that the other structures.Nevertheless, the classic techniques of segmentations have remained without effect (open contour, too noisy). Therefore, we have sought an other approach for the segmentation. Superposition of an ellipsoidal shape on digital ultrasound has put in obviousness the possibility ofmodelisation by this geometrical shape the cranial contour. Therefore, we have developed an algorithm allowing to defme automatically the ellipse. This method is based on a parametrically deformable model using elliptic FOURIER decomposition.

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