Titlebook: Information Processing in Medical Imaging; 18th International C Chris Taylor,J. Alison Noble Conference proceedings 2003 Springer-Verlag Be

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Morphology-Based Cortical Thickness Estimationessing chain consisting of a brain segmentation (skull stripping), as well as white and grey matter segmentation procedures. In this paper, only the grey matter segmentation together with the cortical thickness estimation is described. In contrast to many existing methods, our estimation method is v

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Corresponding Articular Cartilage Thickness Measurements in the Knee Joint by Modelling the Underlyia reference. Knee joint femoral bone and cartilage surfaces are constructed from a set of parallel slice segmentations of MR scans. Correspondence points across a population of bone surfaces are defined and refined by minimising an objective function based on the Minimum Description Length of the re

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Object-Based Strategy for Morphometry of the Cerebral Cortex system. In this paper, we describe an alternative object-based strategy dedicated to the cortex. This strategy relies on an artificial neuroanatomist performing automatic recognition of the main cortical sulci and parcellation of the cortical surface into gyral patches. A set of shape descriptors,

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Genus Zero Surface Conformal Mapping and Its Application to Brain Surface Mappingrivial to find a general method which finds a conformal mapping between two general genus zero surfaces. We propose a new variational method which can find a unique mapping between any two genus zero manifolds by minimizing the harmonic energy of the map. We demonstrate the feasibility of our algori

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Neighbor-Constrained Segmentation with 3D Deformable Models the observation that neighboring structures have consistent locations and shapes that provide configurations and context that aid in segmentation. We define a Maximum A Posteriori(MAP) estimation framework using the constraining information provided by neighboring objects to segment several objects