Imaging strongly scattering media using a multiple frequency distorted Born iterative method
The distorted Born iterative (DBI) method is a powerful approach for solving the inverse scattering problem for ultrasound tomographic imaging. This method alternates between solving the inverse scattering problem for the scattering function and the forward scattering problem for the total field and...
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Veröffentlicht in: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 1998-11, Vol.45 (6), p.1485-1496 |
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description | The distorted Born iterative (DBI) method is a powerful approach for solving the inverse scattering problem for ultrasound tomographic imaging. This method alternates between solving the inverse scattering problem for the scattering function and the forward scattering problem for the total field and the inhomogeneous Green's function. The algorithm is initialized using the basic Born inverse solution. One fundamental problem is the algorithm diverges for strongly scattering media. This is caused by the limitation of the Born assumption in estimating the initial step of the algorithm. We present a multiple frequency DBI approach to alleviate this problem, thus extending the applicability of the DBI method to the level of dealing with biological tissue. In this multiple frequency approach, a low frequency DBI-based solution, is used to initialize the algorithm at higher frequencies. The low frequency allows convergence of the algorithm to a contrast level that is close to the true level, however, with a poor spatial resolution. The high frequency improves the spatial resolution while preserving convergence because the difference between the true contrast and the initial contrast is relatively small. We present numerical simulations that demonstrate the ability of this method to reconstruct strongly scattering regions. |
doi_str_mv | 10.1109/58.738288 |
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This method alternates between solving the inverse scattering problem for the scattering function and the forward scattering problem for the total field and the inhomogeneous Green's function. The algorithm is initialized using the basic Born inverse solution. One fundamental problem is the algorithm diverges for strongly scattering media. This is caused by the limitation of the Born assumption in estimating the initial step of the algorithm. We present a multiple frequency DBI approach to alleviate this problem, thus extending the applicability of the DBI method to the level of dealing with biological tissue. In this multiple frequency approach, a low frequency DBI-based solution, is used to initialize the algorithm at higher frequencies. The low frequency allows convergence of the algorithm to a contrast level that is close to the true level, however, with a poor spatial resolution. The high frequency improves the spatial resolution while preserving convergence because the difference between the true contrast and the initial contrast is relatively small. We present numerical simulations that demonstrate the ability of this method to reconstruct strongly scattering regions.</description><identifier>ISSN: 0885-3010</identifier><identifier>EISSN: 1525-8955</identifier><identifier>DOI: 10.1109/58.738288</identifier><identifier>PMID: 18249996</identifier><identifier>CODEN: ITUCER</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Acoustics ; Biological and medical sciences ; Exact sciences and technology ; Frequency ; Fundamental areas of phenomenology (including applications) ; General linear acoustics ; Green's function methods ; Inverse problems ; Investigative techniques, diagnostic techniques (general aspects) ; Iterative algorithms ; Iterative methods ; Linear acoustics ; Medical sciences ; Miscellaneous. Technology ; Physics ; Predistortion ; Scattering ; Spatial resolution ; Tomography ; Ultrasonic imaging ; Ultrasonic investigative techniques</subject><ispartof>IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 1998-11, Vol.45 (6), p.1485-1496</ispartof><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-a607ddc79ae5984434062f277ca426c4e7ba4311a1ad1bffa2a0a1af18a0c4ca3</citedby><cites>FETCH-LOGICAL-c361t-a607ddc79ae5984434062f277ca426c4e7ba4311a1ad1bffa2a0a1af18a0c4ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/738288$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/738288$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1641348$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18249996$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Haddadin, O.S.</creatorcontrib><creatorcontrib>Ebbini, E.S.</creatorcontrib><title>Imaging strongly scattering media using a multiple frequency distorted Born iterative method</title><title>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</title><addtitle>T-UFFC</addtitle><addtitle>IEEE Trans Ultrason Ferroelectr Freq Control</addtitle><description>The distorted Born iterative (DBI) method is a powerful approach for solving the inverse scattering problem for ultrasound tomographic imaging. This method alternates between solving the inverse scattering problem for the scattering function and the forward scattering problem for the total field and the inhomogeneous Green's function. The algorithm is initialized using the basic Born inverse solution. One fundamental problem is the algorithm diverges for strongly scattering media. This is caused by the limitation of the Born assumption in estimating the initial step of the algorithm. We present a multiple frequency DBI approach to alleviate this problem, thus extending the applicability of the DBI method to the level of dealing with biological tissue. In this multiple frequency approach, a low frequency DBI-based solution, is used to initialize the algorithm at higher frequencies. The low frequency allows convergence of the algorithm to a contrast level that is close to the true level, however, with a poor spatial resolution. The high frequency improves the spatial resolution while preserving convergence because the difference between the true contrast and the initial contrast is relatively small. We present numerical simulations that demonstrate the ability of this method to reconstruct strongly scattering regions.</description><subject>Acoustics</subject><subject>Biological and medical sciences</subject><subject>Exact sciences and technology</subject><subject>Frequency</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>General linear acoustics</subject><subject>Green's function methods</subject><subject>Inverse problems</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Iterative algorithms</subject><subject>Iterative methods</subject><subject>Linear acoustics</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Physics</subject><subject>Predistortion</subject><subject>Scattering</subject><subject>Spatial resolution</subject><subject>Tomography</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic investigative techniques</subject><issn>0885-3010</issn><issn>1525-8955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kD1PwzAQhi0EoqUwsDKgDAjEkGI7jmOPUPFRqRILbEjR1XGKUT6K7SD13-MoEd2YfPI999r3IHRO8JwQLO9SMc8SQYU4QFOS0jQWMk0P0RQLkcYJJniCTpz7wpgwJukxmhBBmZSST9HHsoaNaTaR87ZtNtUucgq817a_q3VhIOpcX0NUd5U320pHpdXfnW7ULiqM8631uogeWttEJsyBNz86TPrPtjhFRyVUTp-N5wy9Pz2-LV7i1evzcnG_ilXCiY-B46woVCZBp1IwljDMaUmzTAGjXDGdrYElhACBgqzLEijgUJdEAFZMQTJDN0Pu1rbhZ87ntXFKVxU0uu1cniUs7MsJD-T1vyQVwSPlIoC3A6hs65zVZb61pga7ywnOe-l5KvJBemAvx9BuHZTtydFyAK5GAILdqrTQKOP2HGckYX3OxYAZrfVfd3zkF7Q7kpM</recordid><startdate>19981101</startdate><enddate>19981101</enddate><creator>Haddadin, O.S.</creator><creator>Ebbini, E.S.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>7X8</scope></search><sort><creationdate>19981101</creationdate><title>Imaging strongly scattering media using a multiple frequency distorted Born iterative method</title><author>Haddadin, O.S. ; Ebbini, E.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-a607ddc79ae5984434062f277ca426c4e7ba4311a1ad1bffa2a0a1af18a0c4ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Acoustics</topic><topic>Biological and medical sciences</topic><topic>Exact sciences and technology</topic><topic>Frequency</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>General linear acoustics</topic><topic>Green's function methods</topic><topic>Inverse problems</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Iterative algorithms</topic><topic>Iterative methods</topic><topic>Linear acoustics</topic><topic>Medical sciences</topic><topic>Miscellaneous. Technology</topic><topic>Physics</topic><topic>Predistortion</topic><topic>Scattering</topic><topic>Spatial resolution</topic><topic>Tomography</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic investigative techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haddadin, O.S.</creatorcontrib><creatorcontrib>Ebbini, E.S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Haddadin, O.S.</au><au>Ebbini, E.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Imaging strongly scattering media using a multiple frequency distorted Born iterative method</atitle><jtitle>IEEE transactions on ultrasonics, ferroelectrics, and frequency control</jtitle><stitle>T-UFFC</stitle><addtitle>IEEE Trans Ultrason Ferroelectr Freq Control</addtitle><date>1998-11-01</date><risdate>1998</risdate><volume>45</volume><issue>6</issue><spage>1485</spage><epage>1496</epage><pages>1485-1496</pages><issn>0885-3010</issn><eissn>1525-8955</eissn><coden>ITUCER</coden><abstract>The distorted Born iterative (DBI) method is a powerful approach for solving the inverse scattering problem for ultrasound tomographic imaging. This method alternates between solving the inverse scattering problem for the scattering function and the forward scattering problem for the total field and the inhomogeneous Green's function. The algorithm is initialized using the basic Born inverse solution. One fundamental problem is the algorithm diverges for strongly scattering media. This is caused by the limitation of the Born assumption in estimating the initial step of the algorithm. We present a multiple frequency DBI approach to alleviate this problem, thus extending the applicability of the DBI method to the level of dealing with biological tissue. In this multiple frequency approach, a low frequency DBI-based solution, is used to initialize the algorithm at higher frequencies. The low frequency allows convergence of the algorithm to a contrast level that is close to the true level, however, with a poor spatial resolution. The high frequency improves the spatial resolution while preserving convergence because the difference between the true contrast and the initial contrast is relatively small. We present numerical simulations that demonstrate the ability of this method to reconstruct strongly scattering regions.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>18249996</pmid><doi>10.1109/58.738288</doi><tpages>12</tpages></addata></record> |
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subjects | Acoustics Biological and medical sciences Exact sciences and technology Frequency Fundamental areas of phenomenology (including applications) General linear acoustics Green's function methods Inverse problems Investigative techniques, diagnostic techniques (general aspects) Iterative algorithms Iterative methods Linear acoustics Medical sciences Miscellaneous. Technology Physics Predistortion Scattering Spatial resolution Tomography Ultrasonic imaging Ultrasonic investigative techniques |
title | Imaging strongly scattering media using a multiple frequency distorted Born iterative method |
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