Model-based Segmentation of CT Images
Marte, Otto and Patrick Marais (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.
|EPrint Type:||Journal (Paginated)|
|Keywords:||Image processing, computer vision, medical imaging, radiology, CT|
|Subjects:||I Computing Methodologies: I.4 IMAGE PROCESSING AND COMPUTER VISION|
|Deposited By:||Marais, Patrick|
|Deposited On:||05 November 2003|