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Interactive segmentation of biomedical images and volumes using connected operators

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4 Author(s)
S. Benini ; Signals & Commun. Lab., Brescia Univ., Italy ; E. Boniotti ; R. Leonardi ; A. Signoroni

Presents a new method able to convey more meaningful images to the clinician. To reach this goal a new approach to medical interactive segmentation issue is proposed. First an automatic simplification process is performed on the volume, relying on connected operator methods. Afterwards a set of descriptors of the region of interest (RoI) is acquired by means of a 2D interactive session by the clinician. These descriptors, reflecting a real diagnostic interest, work like selective criteria during the subsequent morphological segmentation process done on the whole volume. They allow one to extract the desired structures avoiding a strong interaction by the user. Finally a 3D visualization of the segmented volume of interest (VoI) is obtained, and interactive tools allow the user to adjust and improve the results until satisfaction

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Image Processing, 2000. Proceedings. 2000 International Conference on  (Volume:3 )

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