Model-based segmentation of CT Images
Journal Article
2002
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South African Computer Journal
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University of Cape Town
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University of Cape Town
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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 iso-surfaces for surgical planning 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 representing the bone or bones of interest. We illustrate the method
applied to low resolution CT test data and discuss its robustness and performance.
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Reference:
Marte, O. C., & Marais, P. (2002). Model-based segmentation of CT images. South African Computer Journal, (28), p-54.