We developed a new method in order to automatically segment Magnetic Resonance Images of the head. The main tissues, such as scalp, brain and skull, are recognized. The method is based on a Kohonen Self Organizing Feature Map (KSOFM) which performs a cluster of the image areas into three main classes. The network, after being trained, is successfully operated on the test set. The network performances do not depend on the MRI apparatus producing the images set. The network classes are properly matched and processed in order to obtain slices containing the desired tissues. The proposed method has been developed in the frame of a project for the 3-dimensional reconstruction of selected surfaces.
Conforto, S., Della Penna, S., Erne, S.N. (1996). Tissue segmentation of MRI of the head by means of a Kohonen map. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp.1087-1088). Piscataway, NJ, United States : IEEE.
Tissue segmentation of MRI of the head by means of a Kohonen map
CONFORTO, SILVIA;
1996-01-01
Abstract
We developed a new method in order to automatically segment Magnetic Resonance Images of the head. The main tissues, such as scalp, brain and skull, are recognized. The method is based on a Kohonen Self Organizing Feature Map (KSOFM) which performs a cluster of the image areas into three main classes. The network, after being trained, is successfully operated on the test set. The network performances do not depend on the MRI apparatus producing the images set. The network classes are properly matched and processed in order to obtain slices containing the desired tissues. The proposed method has been developed in the frame of a project for the 3-dimensional reconstruction of selected surfaces.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
