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

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 mai...

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Hauptverfasser:	Congorto, S., Penna, S.D., Erne, S.N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Image reconstruction Magnetic heads Magnetic resonance imaging Neurons Scalp Shape Skull Surface reconstruction Surface topography Testing
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creator	Congorto, S. Penna, S.D. Erne, S.N.
description	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.
doi_str_mv	10.1109/IEMBS.1996.652721
format	Conference Proceeding
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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. 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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.</description><subject>Image reconstruction</subject><subject>Magnetic heads</subject><subject>Magnetic resonance imaging</subject><subject>Neurons</subject><subject>Scalp</subject><subject>Shape</subject><subject>Skull</subject><subject>Surface reconstruction</subject><subject>Surface topography</subject><subject>Testing</subject><isbn>9780780338111</isbn><isbn>0780338111</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9js0KgkAUhQciKMoHqNW8QDbX8W92URhJuCn3MtE1J3JGHFv49im17nDgg-9sDiErYC4AE9s0yfZXF4QI3TDwIg8mxBFRzIZyHgPAjDjWPtkQ3w84hHOyy5W1b6QWHzXqTnbKaGpKml3SEV2FtEJ5p7ee1ii1HaWkZ1MZjZrWslmSaSlfFp0fF2R9TPLDaaMQsWhaVcu2L753-N_xA1N3N7o</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Congorto, S.</creator><creator>Penna, S.D.</creator><creator>Erne, S.N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1996</creationdate><title>Tissue segmentation of MRI of the head by means of a Kohonen map</title><author>Congorto, S. ; Penna, S.D. ; Erne, S.N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6527213</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Image reconstruction</topic><topic>Magnetic heads</topic><topic>Magnetic resonance imaging</topic><topic>Neurons</topic><topic>Scalp</topic><topic>Shape</topic><topic>Skull</topic><topic>Surface reconstruction</topic><topic>Surface topography</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Congorto, S.</creatorcontrib><creatorcontrib>Penna, S.D.</creatorcontrib><creatorcontrib>Erne, S.N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Congorto, S.</au><au>Penna, S.D.</au><au>Erne, S.N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Tissue segmentation of MRI of the head by means of a Kohonen map</atitle><btitle>Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society</btitle><stitle>IEMBS</stitle><date>1996</date><risdate>1996</risdate><volume>3</volume><spage>1087</spage><epage>1088 vol.3</epage><pages>1087-1088 vol.3</pages><isbn>9780780338111</isbn><isbn>0780338111</isbn><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.</abstract><pub>IEEE</pub><doi>10.1109/IEMBS.1996.652721</doi></addata></record>
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identifier	ISBN: 9780780338111
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language	eng
recordid	cdi_ieee_primary_652721
source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Image reconstruction Magnetic heads Magnetic resonance imaging Neurons Scalp Shape Skull Surface reconstruction Surface topography Testing
title	Tissue segmentation of MRI of the head by means of a Kohonen map
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