Titlebook: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009; 12th International C Guang-Zhong Yang,David Hawkes,Chris Taylor

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Conditional Variability of Statistical Shape Models Based on Surrogate Variablesonditioning the shape distribution to follow prescribed anatomical constraints. The method is applied to a shape model of the human femur, modeling the joint density of shape and anatomical parameters as a kernel density. Results show that it allows for a fast, intuitive and anatomically meaningful

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A Shape Relationship Descriptor for Radiation Therapy Planninge propose a novel shape descriptor, the Overlap Volume Histogram, which provides a rotation and translation invariant representation of a patient’s organs at risk relative to the tumor volume. Using our descriptor, it is possible to accurately identify database patients with similar constellations o

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Constructing a Dictionary of Human Brain Folding Patterns challenging issue for neuroscience. In this paper, we propose a data mining approach leading to the construction of the first computerized dictionary of cortical folding patterns, from a database of 62 brains. The cortical folds are extracted using BrainVisa open software. The standard sulci are ma

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丰满中国

Teichmüller Shape Space Theory and Its Application to Brain Morphometrynvariant under conformal transformations, rigid motions and scaling. We conformally map a genus-zero open boundary surface to the Poincaré disk with the Yamabe flow method. The shape indices that we compute are the lengths of a special set of geodesics under hyperbolic metric. Tests on longitudinal

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A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract . Existing techniques focus primarily on using diffusivity-based quantities derived from diffusion tensor as surrogate measures of microstructural tissue properties of WM. In this paper, we describe a novel tract-specific framework that enables the examination of WM morphometry at both the macroscop

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etection at no programmer‘s expense. It is here applied to a distributed architecture based on a commercially available microprocessor (the Inmos Transputer). In this project, we have integrated the high-level data driven principles of scheduling within the Transputer architecture so as to provide h