Tissue segmentation of MRI of the head by means of a Kohonen map

Author

Erne, S.N.

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1087

Abstract

The authors developed a new method in order to automatically segment magnetic resonance images (MRIs) of the head. The main tissues, such as scalp, brain and skull, are recognised. The method is based on a Kohonen self organising feature map 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

Keywords

biomedical NMR; brain; image reconstruction; image segmentation; medical image processing; self-organising feature maps; 3-dimensional reconstruction; Kohonen self organising feature map; head MRI tissue segmentation; image areas cluster; magnetic resonance imaging; medical diagnostic imaging; network classes; network performances; scalp; selected surfaces; skull; tissue slices; Image reconstruction; Magnetic heads; Magnetic resonance imaging; Neurons; Scalp; Shape; Skull; Surface reconstruction; Surface topography; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652721

Filename

652721