Titlebook: Geometric Methods in Bio-Medical Image Processing; Ravikanth Malladi Book 2002 Springer-Verlag Berlin Heidelberg 2002 Biomedical Images.Di

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A Geometric Model for Image Analysis in Cytology,es of nuclei and cells from confocal microscopy images. We make use of a geometry-driven scheme for preprocessing and analyzing confocal microscopy images. Namely, we build a chain of methods that includes an edge-preserving image smoothing mechanism, an automatic segmentation method, a geometry-dri

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Level Set Models for Analysis of 2, and 3, Echocardiographic Data,thod allows edge-preserving image smoothing and a semi-automatic segmentation of the heart chambers, that regularizes the shapes and improves edge fidelity especially in presence of distinct gaps in the edge map as is common in ultrasound imagery. A numerical scheme for solving the proposed PDE is b

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Spherical Flattening of the Cortex Surface,ocedure is constructed by first measuring the inter geodesic distances between points on the cortical surface. Next, a multi-dimensional scaling (MDS) technique is applied to map the whole or a section of the surface onto the sphere. The geodesic distances on the cortex are measured by the ‘fast mar

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,Active Contour and Segmentation Models using Geometric PDE’s for Medical Imaging,l give more informations about the dynamic of a disease, or about how the human body growths. We illustrate the efficiency of the proposed models by calculations on two-dimensional and three-dimensional bio-medical images.