Function-based representation of N-dimensional structures
A method is disclosed for the solid modeling of objects that is particularly suitable to modeling objects obtained from scan data, typically voxel-based data, for example medical imaging data. The method provides a more direct approach to providing solid modeling capabilities in modeling complex obj...
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Main Authors | , |
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Format | Patent |
Language | English |
Published |
20.12.2011
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Subjects | |
Online Access | Get full text |
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Summary: | A method is disclosed for the solid modeling of objects that is particularly suitable to modeling objects obtained from scan data, typically voxel-based data, for example medical imaging data. The method provides a more direct approach to providing solid modeling capabilities in modeling complex objects, such as organic objects, that are identified through a segmentation of the scanned data. The voxel-based data is obtained, and segmented to identify in the data the surface of the object. The segmentation is preferably accomplished using a graph cuts/level set method to obtain a grid of signed distance function data. The signed distance function data is then interpolated using wavelets, to produce a functional representation model of the object. The model does not require tessellation, and may be relatively compact. In particular, the resulting wavelet analysis is inherently amenable to multi-resolution analysis and compaction. |
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Bibliography: | Application Number: US20070941863 |