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Sensitivity matrix analysis for contactless electrical conductivity imaging
In this study, the sensitivity matrix for contactless electrical conductivity imaging was analyzed. Images of conductivity distribution were obtained using the reconstruction algorithms. To analyze the sensitivity matrix, a homogeneous volume conductor with 0.2 S/m conductivity and a 7×7 grid of coi...
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creator | Zengin, Reyhan Gençer, Nevzat G |
description | In this study, the sensitivity matrix for contactless electrical conductivity imaging was analyzed. Images of conductivity distribution were obtained using the reconstruction algorithms. To analyze the sensitivity matrix, a homogeneous volume conductor with 0.2 S/m conductivity and a 7×7 grid of coil pairs were chosen. Sensitivity distributions for all receiver- transmitter coils were imaged. To image conductivity distribution, forward problem with different conductivity distributions was solved. These results were used as data for inverse problem solution. Images of conductivity distributions were obtained by using Steepest Descent Method, Conjugate Gradient Method and Tikhonov Regularization Method. The best image was obtained using Steepest Descent Method with 2.5% error. |
doi_str_mv | 10.1109/BIYOMUT.2010.5479819 |
format | conference_proceeding |
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Images of conductivity distribution were obtained using the reconstruction algorithms. To analyze the sensitivity matrix, a homogeneous volume conductor with 0.2 S/m conductivity and a 7×7 grid of coil pairs were chosen. Sensitivity distributions for all receiver- transmitter coils were imaged. To image conductivity distribution, forward problem with different conductivity distributions was solved. These results were used as data for inverse problem solution. Images of conductivity distributions were obtained by using Steepest Descent Method, Conjugate Gradient Method and Tikhonov Regularization Method. The best image was obtained using Steepest Descent Method with 2.5% error.</description><identifier>ISBN: 1424463807</identifier><identifier>ISBN: 9781424463800</identifier><identifier>EISBN: 1424463815</identifier><identifier>EISBN: 9781424463817</identifier><identifier>EISBN: 9781424463824</identifier><identifier>EISBN: 1424463823</identifier><identifier>DOI: 10.1109/BIYOMUT.2010.5479819</identifier><language>eng</language><publisher>IEEE</publisher><subject>Coils ; Conductivity ; Conductors ; Contacts ; Gradient methods ; Image analysis ; Inverse problems ; Reconstruction algorithms ; Transmitters</subject><ispartof>2010 15th National Biomedical Engineering Meeting, 2010, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5479819$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5479819$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zengin, Reyhan</creatorcontrib><creatorcontrib>Gençer, Nevzat G</creatorcontrib><title>Sensitivity matrix analysis for contactless electrical conductivity imaging</title><title>2010 15th National Biomedical Engineering Meeting</title><addtitle>BIYOMUT</addtitle><description>In this study, the sensitivity matrix for contactless electrical conductivity imaging was analyzed. Images of conductivity distribution were obtained using the reconstruction algorithms. To analyze the sensitivity matrix, a homogeneous volume conductor with 0.2 S/m conductivity and a 7×7 grid of coil pairs were chosen. Sensitivity distributions for all receiver- transmitter coils were imaged. To image conductivity distribution, forward problem with different conductivity distributions was solved. These results were used as data for inverse problem solution. Images of conductivity distributions were obtained by using Steepest Descent Method, Conjugate Gradient Method and Tikhonov Regularization Method. The best image was obtained using Steepest Descent Method with 2.5% error.</description><subject>Coils</subject><subject>Conductivity</subject><subject>Conductors</subject><subject>Contacts</subject><subject>Gradient methods</subject><subject>Image analysis</subject><subject>Inverse problems</subject><subject>Reconstruction algorithms</subject><subject>Transmitters</subject><isbn>1424463807</isbn><isbn>9781424463800</isbn><isbn>1424463815</isbn><isbn>9781424463817</isbn><isbn>9781424463824</isbn><isbn>1424463823</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9TrsKwjAAjIjgq1-gQ35ATdLEtquiKCIO1sGphJiWSJpKE8X-vREKbt5y3AsOgClGc4xRsljtr6fjJZ0T5B1GoyTGSQcMMSWULsMYs-5PoKgPAmvvyIMyQigbgMNZGquceinXwJK7Wr0hN1w3VlmYVzUUlXFcOC2thVJL4RuC6699e4p2p0peKFOMQS_n2sqg5RGYbDfpejdTUsrsUfta3WTtyfB_-gHccUGH</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Zengin, Reyhan</creator><creator>Gençer, Nevzat G</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>Sensitivity matrix analysis for contactless electrical conductivity imaging</title><author>Zengin, Reyhan ; Gençer, Nevzat G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_54798193</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Coils</topic><topic>Conductivity</topic><topic>Conductors</topic><topic>Contacts</topic><topic>Gradient methods</topic><topic>Image analysis</topic><topic>Inverse problems</topic><topic>Reconstruction algorithms</topic><topic>Transmitters</topic><toplevel>online_resources</toplevel><creatorcontrib>Zengin, Reyhan</creatorcontrib><creatorcontrib>Gençer, Nevzat G</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zengin, Reyhan</au><au>Gençer, Nevzat G</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Sensitivity matrix analysis for contactless electrical conductivity imaging</atitle><btitle>2010 15th National Biomedical Engineering Meeting</btitle><stitle>BIYOMUT</stitle><date>2010-04</date><risdate>2010</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>1424463807</isbn><isbn>9781424463800</isbn><eisbn>1424463815</eisbn><eisbn>9781424463817</eisbn><eisbn>9781424463824</eisbn><eisbn>1424463823</eisbn><abstract>In this study, the sensitivity matrix for contactless electrical conductivity imaging was analyzed. Images of conductivity distribution were obtained using the reconstruction algorithms. To analyze the sensitivity matrix, a homogeneous volume conductor with 0.2 S/m conductivity and a 7×7 grid of coil pairs were chosen. Sensitivity distributions for all receiver- transmitter coils were imaged. To image conductivity distribution, forward problem with different conductivity distributions was solved. These results were used as data for inverse problem solution. Images of conductivity distributions were obtained by using Steepest Descent Method, Conjugate Gradient Method and Tikhonov Regularization Method. The best image was obtained using Steepest Descent Method with 2.5% error.</abstract><pub>IEEE</pub><doi>10.1109/BIYOMUT.2010.5479819</doi></addata></record> |
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subjects | Coils Conductivity Conductors Contacts Gradient methods Image analysis Inverse problems Reconstruction algorithms Transmitters |
title | Sensitivity matrix analysis for contactless electrical conductivity imaging |
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