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Model-based segmentation of CT Images

dc.contributor.authorMarte, O.
dc.identifier.citationMarte, O. C., & Marais, P. (2002). Model-based segmentation of CT images. South African Computer Journal, (28), p-54.en_ZA
dc.description.abstractThis 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.en_ZA
dc.publisherUniversity of Cape Townen_ZA
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)*
dc.sourceSouth African Computer Journalen_ZA
dc.subject.otherimage processing, computer vision, registration, segmentation, medical imaging, radiology, CT
dc.titleModel-based segmentation of CT Imagesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA

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Creative Commons Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International (CC BY 4.0)