989 resultados para Atlas de setores postais
Resumo:
In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: "Global Weighted Shape-Based Averaging" (GWSBA) and "Local Weighted Shape-Based Averaging" (LWSBA). These methods extend the well known Shape-Based Averaging (SBA) by additionally incorporating the similarity information between the reference (i.e., atlas) images and the target image to be segmented. We also propose a new spatially-varying similarity-weighted neighborhood prior model, and an edge-preserving smoothness term that can be used with many of the existing fusion methods. We first present our new Markov Random Field (MRF) based fusion framework that models the above mentioned information. The proposed methods are evaluated in the context of segmentation of lymph nodes in the head and neck 3D CT images, and they resulted in more accurate segmentations compared to the existing SBA.
Resumo:
Carbonatites of the Eocene Tamazeght complex, High Atlas Mountains, Morocco, consist of calciocarbonatites (alvikite and sovite dykes) and magnesiocarbonatites (diatreme breccias and dykes rocks). These are associated with ultramafic, shonkinitic, gabbroic to monzonitic and various foid syenitic silicate units. Stable and radiogenic isotope compositions for carbonatites and silicate rocks indicate that they share a common source in the mantle, although for some carbonatitic samples contamination with sedimentary rocks seems important. The observed isotopic heterogeneity is mainly attributed to source characteristics, fractional crystallization (accompanied by various degrees of assimilation), and late- to post-magmatic fluid-rock interaction. During the late fluid-rock interaction, Sr, Mn, and possibly also Fe were mobilized and redistributed to form secondary carbonate minerals in carbonatites. These fluids also penetrated into the adjacent syenitic rocks, causing enrichment in the same elements.
Resumo:
We propose a method for brain atlas deformation inpresence of large space-occupying tumors, based on an apriori model of lesion growth that assumes radialexpansion of the lesion from its starting point. First,an affine registration brings the atlas and the patientinto global correspondence. Then, the seeding of asynthetic tumor into the brain atlas provides a templatefor the lesion. Finally, the seeded atlas is deformed,combining a method derived from optical flow principlesand a model of lesion growth (MLG). Results show that themethod can be applied to the automatic segmentation ofstructures and substructures in brains with grossdeformation, with important medical applications inneurosurgery, radiosurgery and radiotherapy.
Resumo:
Collection : Atlas-manuels de médecine