Title :
Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers
Author :
Dokládal, Petr ; Urtasun, Raquel ; Bloch, Isabelle ; Garnero, Line
Author_Institution :
Ecole Nationale Superieure des Telecommun., CNRS, Paris, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
We propose a morphological approach to segment several structures of 3D head magnetic resonance images dedicated to the construction of individual models of the head for applications where topology is one of the main constraints. The originality of the approach lies in the satisfaction of such constraints and in an effort towards robustness
Keywords :
biomedical MRI; brain; graph theory; image reconstruction; image representation; image segmentation; mathematical morphology; medical image processing; 3D head MR images segmentation; 3D head MRI; automatic markers selection; brain stem; cerebellum; graph representation; morphological reconstruction; parameter estimation; robustness constraints; topological constraints; topology; Brain; Deformable models; Image reconstruction; Image segmentation; Magnetic heads; Magnetic resonance; Magnetic resonance imaging; Robustness; Skull; Topology;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958313
