Volumetric segmentation via three-dimensional active shape models

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Title: Volumetric segmentation via three-dimensional active shape models
Author: Dickens, Molly Mae
Abstract: A volumetric image segmentation algorithm has been developed and implemented by extending a 2D algorithm based on Active Shape Models . The new technique allows segmentation of 3D objects that are embedded within volumetric image data . The extension from 2D involved four components : landmarking , shape modeling , gray -level modeling , and segmentation . Algorithms and software tools have been implemented to allow a user to efficiently landmark a 3D object training set . Additional tools were built that subsequently generate models of 3D object shape and gray -level appearance based on this training data . An object segmentation strategy was implemented that optimizes these models to segment a previously unseen instance of the object . The nature of volumetric images required the development of tools to visualize the features of the models within the volumes . Results of this new 3D segmentation algorithm have been generated for synthetic as well as x -ray CT volumetric image data .
URI: http : / /hdl .handle .net /2346 /19513
Date: 2002-05


Volumetric segmentation via three-dimensional active shape models. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /19513 .

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