A new consistent image registration formulation with a B-spline deformation model
A consistent image registration formulation with B-spline deformation model is proposed. This formulation avoids the computation of the inverse of a deformation in the iterative optimization and allows the analytical computation of both gradient and Hessian of the cost function. Because of the formu...
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creator | Wei Feng Reeves, S.J. Denney, T.S. Lloyd, S. Dell'Italia, L. Gupta, H. |
description | A consistent image registration formulation with B-spline deformation model is proposed. This formulation avoids the computation of the inverse of a deformation in the iterative optimization and allows the analytical computation of both gradient and Hessian of the cost function. Because of the formulation, the algorithm is computationally efficient and could potentially produce more accurate registration results. Experiments show that the proposed algorithm produces promising results while keeping the estimated deformations consistent. |
doi_str_mv | 10.1109/ISBI.2009.5193218 |
format | Conference Proceeding |
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This formulation avoids the computation of the inverse of a deformation in the iterative optimization and allows the analytical computation of both gradient and Hessian of the cost function. Because of the formulation, the algorithm is computationally efficient and could potentially produce more accurate registration results. Experiments show that the proposed algorithm produces promising results while keeping the estimated deformations consistent.</description><identifier>ISSN: 1945-7928</identifier><identifier>ISBN: 1424439310</identifier><identifier>ISBN: 9781424439317</identifier><identifier>EISSN: 1945-8452</identifier><identifier>EISBN: 1424439329</identifier><identifier>EISBN: 9781424439324</identifier><identifier>DOI: 10.1109/ISBI.2009.5193218</identifier><language>eng</language><publisher>IEEE</publisher><subject>B-spline ; Computational modeling ; consistent image registration ; Data mining ; Deformable models ; Image registration ; Magnetic resonance imaging ; MRI ; myocardial strain ; Spline ; Strain</subject><ispartof>2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009, p.979-982</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/5193218$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5193218$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wei Feng</creatorcontrib><creatorcontrib>Reeves, S.J.</creatorcontrib><creatorcontrib>Denney, T.S.</creatorcontrib><creatorcontrib>Lloyd, S.</creatorcontrib><creatorcontrib>Dell'Italia, L.</creatorcontrib><creatorcontrib>Gupta, H.</creatorcontrib><title>A new consistent image registration formulation with a B-spline deformation model</title><title>2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</title><addtitle>ISBI</addtitle><description>A consistent image registration formulation with B-spline deformation model is proposed. This formulation avoids the computation of the inverse of a deformation in the iterative optimization and allows the analytical computation of both gradient and Hessian of the cost function. Because of the formulation, the algorithm is computationally efficient and could potentially produce more accurate registration results. Experiments show that the proposed algorithm produces promising results while keeping the estimated deformations consistent.</description><subject>B-spline</subject><subject>Computational modeling</subject><subject>consistent image registration</subject><subject>Data mining</subject><subject>Deformable models</subject><subject>Image registration</subject><subject>Magnetic resonance imaging</subject><subject>MRI</subject><subject>myocardial strain</subject><subject>Spline</subject><subject>Strain</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>1424439310</isbn><isbn>9781424439317</isbn><isbn>1424439329</isbn><isbn>9781424439324</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpF0N9LwzAQB_D4C5xzf4D4kn-g9S5Jm-ZxG1MLAxH1ebTNZUa6djSV4X9vpQXv5e7LB47jGLtDiBHBPORvqzwWACZO0EiB2Rm7QSWUkkMy52yGRiVRphJx8Q8IlxNoI7JrtgjhC4bSg4Kasdclb-jEq7YJPvTU9Nwfij3xjvZD7oretw13bXf4rsf55PtPXvBVFI61b4hb-tPRDq2l-pZduaIOtJj6nH08bt7Xz9H25SlfL7eRR530kbGpLrEkA9I5kllBzqispMolhJVEKYWwlBpItTWaoCAJAq1BIig1gJyz-3GvJ6LdsRvu7n5202vkL-M1VGg</recordid><startdate>200906</startdate><enddate>200906</enddate><creator>Wei Feng</creator><creator>Reeves, S.J.</creator><creator>Denney, T.S.</creator><creator>Lloyd, S.</creator><creator>Dell'Italia, L.</creator><creator>Gupta, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200906</creationdate><title>A new consistent image registration formulation with a B-spline deformation model</title><author>Wei Feng ; Reeves, S.J. ; Denney, T.S. ; Lloyd, S. ; Dell'Italia, L. ; Gupta, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-9d67b1be903ffe38aef948becf5e1c313322de69067d97e0ae3021d91ee0b7003</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>B-spline</topic><topic>Computational modeling</topic><topic>consistent image registration</topic><topic>Data mining</topic><topic>Deformable models</topic><topic>Image registration</topic><topic>Magnetic resonance imaging</topic><topic>MRI</topic><topic>myocardial strain</topic><topic>Spline</topic><topic>Strain</topic><toplevel>online_resources</toplevel><creatorcontrib>Wei Feng</creatorcontrib><creatorcontrib>Reeves, S.J.</creatorcontrib><creatorcontrib>Denney, T.S.</creatorcontrib><creatorcontrib>Lloyd, S.</creatorcontrib><creatorcontrib>Dell'Italia, L.</creatorcontrib><creatorcontrib>Gupta, H.</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>Wei Feng</au><au>Reeves, S.J.</au><au>Denney, T.S.</au><au>Lloyd, S.</au><au>Dell'Italia, L.</au><au>Gupta, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A new consistent image registration formulation with a B-spline deformation model</atitle><btitle>2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><date>2009-06</date><risdate>2009</risdate><spage>979</spage><epage>982</epage><pages>979-982</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>1424439310</isbn><isbn>9781424439317</isbn><eisbn>1424439329</eisbn><eisbn>9781424439324</eisbn><abstract>A consistent image registration formulation with B-spline deformation model is proposed. This formulation avoids the computation of the inverse of a deformation in the iterative optimization and allows the analytical computation of both gradient and Hessian of the cost function. Because of the formulation, the algorithm is computationally efficient and could potentially produce more accurate registration results. Experiments show that the proposed algorithm produces promising results while keeping the estimated deformations consistent.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2009.5193218</doi><tpages>4</tpages></addata></record> |
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subjects | B-spline Computational modeling consistent image registration Data mining Deformable models Image registration Magnetic resonance imaging MRI myocardial strain Spline Strain |
title | A new consistent image registration formulation with a B-spline deformation model |
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