Nonlinear elasticity imaging
We present the solution of the nonlinear inverse elasticity problem, wherein we image the linear and nonlinear hyperelastic properties of soft tissues in-vivo. For this, we solve a constrained optimization problem iteratively. The discrepancy between measured and predicted displacement fields is min...
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creator | Goenezen, S Oberai, A A Dord, J Sink, Z Barbone, P |
description | We present the solution of the nonlinear inverse elasticity problem, wherein we image the linear and nonlinear hyperelastic properties of soft tissues in-vivo. For this, we solve a constrained optimization problem iteratively. The discrepancy between measured and predicted displacement fields is minimized in the objective function in the presence of regularization. The predicted displacement fields satisfy the equilibrium equations of elasticity from the current estimate of the elastic properties. The measured displacement fields are determined from a sequence of ultrasound radio frequency data while the tissue is slowly compressed. We model the tissue to have an exponential stress-stretch relation and capture its nonlinear response with a nonlinear parameter at large deformations. |
doi_str_mv | 10.1109/NEBC.2011.5778680 |
format | Conference Proceeding |
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We model the tissue to have an exponential stress-stretch relation and capture its nonlinear response with a nonlinear parameter at large deformations.</description><subject>Displacement measurement</subject><subject>Elasticity</subject><subject>Image reconstruction</subject><subject>Imaging</subject><subject>Inverse problems</subject><subject>Strain</subject><subject>Ultrasonic imaging</subject><issn>2160-6986</issn><issn>2160-7028</issn><isbn>9781612848273</isbn><isbn>1612848273</isbn><isbn>1612848281</isbn><isbn>9781612848266</isbn><isbn>9781612848280</isbn><isbn>1612848265</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8lOw0AQRJslEk7IByA45AdsumfGPT1HsMIiReGSe-SlHQ0yBtm55O-JhDnV4Un1qgDuCDMiDI_b9XORGSTKcu-FBS9gTkxGnBihS0gMMaYejVzBMnj5Z95eT4yD8AwSkZQd5-xvYD6On4g2GEMJPGy_-y72Wg4r7crxGOt4PK3iV3mI_eEWZm3ZjbqccgG7l_WueEs3H6_vxdMmjQGPKbMXwaaVGmslZW9cbnPDZCttbM1om0YkCOWu0fNStW1Vk7NsAjosK7uA-7_aqKr7n-FsH0776bD9BSG8QTM</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Goenezen, S</creator><creator>Oberai, A A</creator><creator>Dord, J</creator><creator>Sink, Z</creator><creator>Barbone, P</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201104</creationdate><title>Nonlinear elasticity imaging</title><author>Goenezen, S ; Oberai, A A ; Dord, J ; Sink, Z ; Barbone, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-667880df8c0ce1e67245352613bed3c603dd8898154de028e3fbc143629040ab3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Displacement measurement</topic><topic>Elasticity</topic><topic>Image reconstruction</topic><topic>Imaging</topic><topic>Inverse problems</topic><topic>Strain</topic><topic>Ultrasonic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Goenezen, S</creatorcontrib><creatorcontrib>Oberai, A A</creatorcontrib><creatorcontrib>Dord, J</creatorcontrib><creatorcontrib>Sink, Z</creatorcontrib><creatorcontrib>Barbone, P</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>Goenezen, S</au><au>Oberai, A A</au><au>Dord, J</au><au>Sink, Z</au><au>Barbone, P</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Nonlinear elasticity imaging</atitle><btitle>2011 IEEE 37th Annual Northeast Bioengineering Conference (NEBEC)</btitle><stitle>NEBC</stitle><date>2011-04</date><risdate>2011</risdate><spage>1</spage><epage>2</epage><pages>1-2</pages><issn>2160-6986</issn><eissn>2160-7028</eissn><isbn>9781612848273</isbn><isbn>1612848273</isbn><eisbn>1612848281</eisbn><eisbn>9781612848266</eisbn><eisbn>9781612848280</eisbn><eisbn>1612848265</eisbn><abstract>We present the solution of the nonlinear inverse elasticity problem, wherein we image the linear and nonlinear hyperelastic properties of soft tissues in-vivo. For this, we solve a constrained optimization problem iteratively. The discrepancy between measured and predicted displacement fields is minimized in the objective function in the presence of regularization. The predicted displacement fields satisfy the equilibrium equations of elasticity from the current estimate of the elastic properties. The measured displacement fields are determined from a sequence of ultrasound radio frequency data while the tissue is slowly compressed. We model the tissue to have an exponential stress-stretch relation and capture its nonlinear response with a nonlinear parameter at large deformations.</abstract><pub>IEEE</pub><doi>10.1109/NEBC.2011.5778680</doi><tpages>2</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Displacement measurement Elasticity Image reconstruction Imaging Inverse problems Strain Ultrasonic imaging |
title | Nonlinear elasticity imaging |
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