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

被引：0

作者：

Conforto, S

Della Penna, S

Erne, SN

机构：

[1] Univ G DAnnunzio, Inst Adv Biomed Technol, I-66100 Chieti, Italy

[2] Univ Ulm, Zentralinst Biomed Tech, D-79000 Ulm, Germany

来源：

PROCEEDINGS OF THE 18TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 18, PTS 1-5 | 1997年 / 18卷

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 recognised, The method is based on a Kohonen Self Organising 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.

引用

页码：1087 / 1088

页数：2

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