Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm
Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence...
Gespeichert in:
| Veröffentlicht in: | International journal of swarm intelligence research 2017-04, Vol.8 (2), p.17-33 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 33 |
|---|---|
| container_issue | 2 |
| container_start_page | 17 |
| container_title | International journal of swarm intelligence research |
| container_volume | 8 |
| creator | Barbosa, Valter A. F Ribeiro, Reiga R Feitosa, Allan R. S Silva, Victor L. B. A Rocha, Arthur D. D Freitas, Rafaela C Souza, Ricardo E Santos, Wellington P |
| description | Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms. |
| doi_str_mv | 10.4018/IJSIR.2017040102 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2932393288</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2932393288</sourcerecordid><originalsourceid>FETCH-LOGICAL-c400t-dbb54b98657ac73079641c0f3662895b713020db6fad397ba01bfe03fd2192c83</originalsourceid><addsrcrecordid>eNp1kc1LwzAYh4soONS7x4AXD3bmo23a4xQ3K0NhH-eQpsma0SY16Q777-2crCD6QnjfhIdfXniC4BbBcQRR-pi_LfPFGENEYX-H-CwYoSyiYYYpOj_NCbkMbrzfwr7iiNKYjAK_kMIa37md6LQ1wCrwUkvROS14DfKmlSU3QoKVbezG8bbag7XXZgOm2ldgKSpra7CU3InqAbxbEz7V2pSnF97PM2lkpwWY1BvrdFc118GF4rWXNz_9KlhPX1bPr-H8Y5Y_T-ahiCDswrIo4qjI0iSmXFACaZZESEBFkgSnWVxQRCCGZZEoXpKMFhyiQklIVIlRhkVKroL7Y27r7OdO-o412gtZ19xIu_MMpWmEUILJAb37hW7tzpl-O4Yzgkl_0gMFj5Rw1nsnFWudbrjbMwTZQQT7FsEGEcMOeqOHzN8Ya0vVo9M_0MENs4oNbv79MiVf24ae4Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2932393288</pqid></control><display><type>article</type><title>Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm</title><source>ProQuest Central UK/Ireland</source><source>ProQuest Central</source><creator>Barbosa, Valter A. F ; Ribeiro, Reiga R ; Feitosa, Allan R. S ; Silva, Victor L. B. A ; Rocha, Arthur D. D ; Freitas, Rafaela C ; Souza, Ricardo E ; Santos, Wellington P</creator><creatorcontrib>Barbosa, Valter A. F ; Ribeiro, Reiga R ; Feitosa, Allan R. S ; Silva, Victor L. B. A ; Rocha, Arthur D. D ; Freitas, Rafaela C ; Souza, Ricardo E ; Santos, Wellington P</creatorcontrib><description>Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms.</description><identifier>ISSN: 1947-9263</identifier><identifier>EISSN: 1947-9271</identifier><identifier>DOI: 10.4018/IJSIR.2017040102</identifier><language>eng</language><publisher>Hershey: IGI Global</publisher><subject>Electrical impedance ; Electrical resistivity ; Evolutionary computation ; Fish ; Genetic algorithms ; Image reconstruction ; Imaging techniques ; Inverse problems ; Ionizing radiation ; Mammography ; Methods ; Optimization ; Partial differential equations ; Radiation ; Reconstruction ; Schools (fish) ; Searching ; Swarm intelligence ; Tomography</subject><ispartof>International journal of swarm intelligence research, 2017-04, Vol.8 (2), p.17-33</ispartof><rights>Copyright © 2017, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-dbb54b98657ac73079641c0f3662895b713020db6fad397ba01bfe03fd2192c83</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2932393288?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21387,27923,27924,33743,33744,43804,64384,64386,64388,72240</link.rule.ids></links><search><creatorcontrib>Barbosa, Valter A. F</creatorcontrib><creatorcontrib>Ribeiro, Reiga R</creatorcontrib><creatorcontrib>Feitosa, Allan R. S</creatorcontrib><creatorcontrib>Silva, Victor L. B. A</creatorcontrib><creatorcontrib>Rocha, Arthur D. D</creatorcontrib><creatorcontrib>Freitas, Rafaela C</creatorcontrib><creatorcontrib>Souza, Ricardo E</creatorcontrib><creatorcontrib>Santos, Wellington P</creatorcontrib><title>Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm</title><title>International journal of swarm intelligence research</title><description>Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms.</description><subject>Electrical impedance</subject><subject>Electrical resistivity</subject><subject>Evolutionary computation</subject><subject>Fish</subject><subject>Genetic algorithms</subject><subject>Image reconstruction</subject><subject>Imaging techniques</subject><subject>Inverse problems</subject><subject>Ionizing radiation</subject><subject>Mammography</subject><subject>Methods</subject><subject>Optimization</subject><subject>Partial differential equations</subject><subject>Radiation</subject><subject>Reconstruction</subject><subject>Schools (fish)</subject><subject>Searching</subject><subject>Swarm intelligence</subject><subject>Tomography</subject><issn>1947-9263</issn><issn>1947-9271</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc1LwzAYh4soONS7x4AXD3bmo23a4xQ3K0NhH-eQpsma0SY16Q777-2crCD6QnjfhIdfXniC4BbBcQRR-pi_LfPFGENEYX-H-CwYoSyiYYYpOj_NCbkMbrzfwr7iiNKYjAK_kMIa37md6LQ1wCrwUkvROS14DfKmlSU3QoKVbezG8bbag7XXZgOm2ldgKSpra7CU3InqAbxbEz7V2pSnF97PM2lkpwWY1BvrdFc118GF4rWXNz_9KlhPX1bPr-H8Y5Y_T-ahiCDswrIo4qjI0iSmXFACaZZESEBFkgSnWVxQRCCGZZEoXpKMFhyiQklIVIlRhkVKroL7Y27r7OdO-o412gtZ19xIu_MMpWmEUILJAb37hW7tzpl-O4Yzgkl_0gMFj5Rw1nsnFWudbrjbMwTZQQT7FsEGEcMOeqOHzN8Ya0vVo9M_0MENs4oNbv79MiVf24ae4Q</recordid><startdate>20170401</startdate><enddate>20170401</enddate><creator>Barbosa, Valter A. F</creator><creator>Ribeiro, Reiga R</creator><creator>Feitosa, Allan R. S</creator><creator>Silva, Victor L. B. A</creator><creator>Rocha, Arthur D. D</creator><creator>Freitas, Rafaela C</creator><creator>Souza, Ricardo E</creator><creator>Santos, Wellington P</creator><general>IGI Global</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20170401</creationdate><title>Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm</title><author>Barbosa, Valter A. F ; Ribeiro, Reiga R ; Feitosa, Allan R. S ; Silva, Victor L. B. A ; Rocha, Arthur D. D ; Freitas, Rafaela C ; Souza, Ricardo E ; Santos, Wellington P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-dbb54b98657ac73079641c0f3662895b713020db6fad397ba01bfe03fd2192c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Electrical impedance</topic><topic>Electrical resistivity</topic><topic>Evolutionary computation</topic><topic>Fish</topic><topic>Genetic algorithms</topic><topic>Image reconstruction</topic><topic>Imaging techniques</topic><topic>Inverse problems</topic><topic>Ionizing radiation</topic><topic>Mammography</topic><topic>Methods</topic><topic>Optimization</topic><topic>Partial differential equations</topic><topic>Radiation</topic><topic>Reconstruction</topic><topic>Schools (fish)</topic><topic>Searching</topic><topic>Swarm intelligence</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barbosa, Valter A. F</creatorcontrib><creatorcontrib>Ribeiro, Reiga R</creatorcontrib><creatorcontrib>Feitosa, Allan R. S</creatorcontrib><creatorcontrib>Silva, Victor L. B. A</creatorcontrib><creatorcontrib>Rocha, Arthur D. D</creatorcontrib><creatorcontrib>Freitas, Rafaela C</creatorcontrib><creatorcontrib>Souza, Ricardo E</creatorcontrib><creatorcontrib>Santos, Wellington P</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>International journal of swarm intelligence research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barbosa, Valter A. F</au><au>Ribeiro, Reiga R</au><au>Feitosa, Allan R. S</au><au>Silva, Victor L. B. A</au><au>Rocha, Arthur D. D</au><au>Freitas, Rafaela C</au><au>Souza, Ricardo E</au><au>Santos, Wellington P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm</atitle><jtitle>International journal of swarm intelligence research</jtitle><date>2017-04-01</date><risdate>2017</risdate><volume>8</volume><issue>2</issue><spage>17</spage><epage>33</epage><pages>17-33</pages><issn>1947-9263</issn><eissn>1947-9271</eissn><abstract>Electrical Impedance Tomography (EIT) is a noninvasive imaging technique that does not use ionizing radiation, with application both in environmental sciences and in health. Image reconstruction is performed by solving an inverse problem and ill-posed. Evolutionary Computation and Swarm Intelligence have become a source of methods for solving inverse problems. Fish School Search (FSS) is a promising search and optimization method, based on the dynamics of schools of fish. In this article the authors present a method for reconstruction of EIT images based on FSS and Non-Blind Search (NBS). The method was evaluated using numerical phantoms consisting of electrical conductivity images with subjects in the center, between the center and the edge and on the edge of a circular section, with meshes of 415 finite elements. The authors performed 20 simulations for each configuration. Results showed that both FSS and FSS-NBS were able to converge faster than genetic algorithms.</abstract><cop>Hershey</cop><pub>IGI Global</pub><doi>10.4018/IJSIR.2017040102</doi><tpages>17</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1947-9263 |
| ispartof | International journal of swarm intelligence research, 2017-04, Vol.8 (2), p.17-33 |
| issn | 1947-9263 1947-9271 |
| language | eng |
| recordid | cdi_proquest_journals_2932393288 |
| source | ProQuest Central UK/Ireland; ProQuest Central |
| subjects | Electrical impedance Electrical resistivity Evolutionary computation Fish Genetic algorithms Image reconstruction Imaging techniques Inverse problems Ionizing radiation Mammography Methods Optimization Partial differential equations Radiation Reconstruction Schools (fish) Searching Swarm intelligence Tomography |
| title | Reconstruction of Electrical Impedance Tomography Using Fish School Search, Non-Blind Search, and Genetic Algorithm |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T12%3A49%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reconstruction%20of%20Electrical%20Impedance%20Tomography%20Using%20Fish%20School%20Search,%20Non-Blind%20Search,%20and%20Genetic%20Algorithm&rft.jtitle=International%20journal%20of%20swarm%20intelligence%20research&rft.au=Barbosa,%20Valter%20A.%20F&rft.date=2017-04-01&rft.volume=8&rft.issue=2&rft.spage=17&rft.epage=33&rft.pages=17-33&rft.issn=1947-9263&rft.eissn=1947-9271&rft_id=info:doi/10.4018/IJSIR.2017040102&rft_dat=%3Cproquest_cross%3E2932393288%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2932393288&rft_id=info:pmid/&rfr_iscdi=true |