OBJECTIVES: To provide a comprehensive bottom-up categorization of model-based segmentation techniques that allows to select, implement, and apply well-suited active contour models for segmentation of medical images, where major challenges are the high variability in shape and appearance of objects, noise, artifacts, partial occlusions of objects, and the required reliability and correctness of results. METHODS: We consider the general purpose of segmentation, the dimension of images, the object representation within the model, image and contour influences, as well as the solution and the parameter selection of the model...
Keywords: image processing, computer-assisted (tree number L01.700.568.110.308), algorithms (tree number L01.700.568.110.050), finite element analysis (tree number H01.548.350)
01/2003 | Methods of Information in Medicine, Schattauer