Model-based Segmentation of CT Images

Marte, Otto and Marais, Patrick (2002) Model-based Segmentation of CT Images, South African Computer Journal, 28, 54-59.

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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

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