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Model-based segmentation of CT images

Show simple item record Marte, O-C Marais, P
dc.contributor.editor Renaud, K.
dc.contributor.editor Kotze, P
dc.contributor.editor Barnard, A 2018-08-23T10:35:14Z 2018-08-23T10:35:14Z 2001
dc.identifier.citation Marte, O-C. & Marais, P. (2001) Model-based segmentation of CT images. Hardware, Software and Peopleware: Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, University of South Africa, Pretoria, 25-28 September 200 en
dc.identifier.isbn 1-86888-195-4
dc.description.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 far surgical planning or diagnosis - such methods are not suitable far 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 bane or bones of interest. We illustrate the method applied to low resolution CT test data and discuss its robustness and performance. en
dc.language.iso en en
dc.subject Image processing en
dc.subject Computer vision en
dc.subject Registration en
dc.subject Segmentation en
dc.subject Medical imaging en
dc.subject Radiology en
dc.subject CT en
dc.title Model-based segmentation of CT images en

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