Marte, Otto and Marais, Patrick (2002) Model-based Segmentation of CT Images, South African Computer Journal, 28, 54-59.
Full text not available from this repository. (Use alternate locations listed below)Abstract
This paper presents preliminary work on the segmentation of Computed Tomography data using a model-based approach. Conventional image processing of CT data is aimed at the production of simple isosurfaces for surgical planing or diagnosis - such methods are not suitable for the automated detection of fractures, which is the ultimate application of our work. To address these deficiencies a surface-based technique with appropriate constraints is introduced. The output of the segmentation phase is a triangulated surface representating the bone or bones of interest. We illustrate the method applied to low resolution CT test data and discuss its robustness and performance.
| Item Type: | Journal article (paginated) |
|---|---|
| Uncontrolled Keywords: | Image processing, computer vision, medical imaging, radiology, CT |
| Subjects: | Computing methodologies > Computer graphics > Image manipulation > Image processing |
| Date Deposited: | 05 Nov 2003 |
| Last Modified: | 10 Oct 2019 15:36 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/96 |
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