Segmentation of head bones in 3-D CT images from an example
| Autor: | Nicolas Passat, Sylvain Faisan, Jean-Paul Armspach, Vincent Noblet, C. Meyer, Renee Chabrier |
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| Rok vydání: | 2008 |
| Předmět: |
Computer science
Segmentation-based object categorization business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image registration Scale-space segmentation Context (language use) Image segmentation Minimum spanning tree-based segmentation Region growing Computer Science::Computer Vision and Pattern Recognition Computer vision Segmentation Artificial intelligence business |
| Zdroj: | ISBI |
| DOI: | 10.1109/isbi.2008.4540937 |
| Popis: | We propose a new generic framework for segmentation of 3D digital data, based on knowledge contained in a segmentation example of similar data. The integration of prior knowledge is made by registering the image to segment on the segmentation example. Since the registration step relies on binary segmented data, segmentation and registration are performed jointly in a coarse-to-fine way using a multiscale parametric representation of a threshold map and of a deformation field. The threshold map is required by the segmentation procedure which is also devoted to recover topological details. The benefit of such an approach is illustrated in the context of head bone segmentation in 3-D computed tomography (CT) images. |
| Databáze: | OpenAIRE |
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