ARMA regularization of cardiac perfusion modeling
Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves...
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| creator | Batchelor, P Chiribiri, A Nooralipour, N Z Cvetković, Z |
| description | Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection. |
| doi_str_mv | 10.1109/ICASSP.2010.5495154 |
| format | Conference Proceeding |
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ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.</description><subject>Additive noise</subject><subject>ARMA</subject><subject>Blood flow</subject><subject>Cardiac perfusion</subject><subject>Convolution</subject><subject>Deconvolution</subject><subject>Educational institutions</subject><subject>exponential approximation</subject><subject>Fluid flow measurement</subject><subject>Magnetic resonance imaging</subject><subject>Myocardium</subject><subject>Noise robustness</subject><subject>robustness</subject><subject>Singular value decomposition</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9781424442959</isbn><isbn>1424442958</isbn><isbn>9781424442966</isbn><isbn>1424442966</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj8tKAzEYheMNHGufoJt5gdRc_kyS5VC8QUWxCu5KLn9KZNopmXahT2_Fblwd-A58nEPIhLMp58zePM7axeJlKtgBKLCKKzghY6sNBwEAwjbNKamE1JZyyz7O_nXKnpOKK8Fow8Fekqth-GSMGQ2mIrx9fWrrgqt950r-drvcb-o-1cGVmF2ot1jSfviF6z5ilzera3KRXDfg-Jgj8n53-zZ7oPPn-8POOc1cqx312kcwkiFDCRqN9hacE9FHIVwyQdsEznqM4JqYVBKAMjQSYuA-YQxyRCZ_3oyIy23Ja1e-lsf38gfvsEry</recordid><startdate>201003</startdate><enddate>201003</enddate><creator>Batchelor, P</creator><creator>Chiribiri, A</creator><creator>Nooralipour, N Z</creator><creator>Cvetković, Z</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201003</creationdate><title>ARMA regularization of cardiac perfusion modeling</title><author>Batchelor, P ; Chiribiri, A ; Nooralipour, N Z ; Cvetković, Z</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-b7bd4830e0e347e87b94aa2dbd22af8c79f4a9bed4a6df5f24e3c634dc1bfedc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Additive noise</topic><topic>ARMA</topic><topic>Blood flow</topic><topic>Cardiac perfusion</topic><topic>Convolution</topic><topic>Deconvolution</topic><topic>Educational institutions</topic><topic>exponential approximation</topic><topic>Fluid flow measurement</topic><topic>Magnetic resonance imaging</topic><topic>Myocardium</topic><topic>Noise robustness</topic><topic>robustness</topic><topic>Singular value decomposition</topic><toplevel>online_resources</toplevel><creatorcontrib>Batchelor, P</creatorcontrib><creatorcontrib>Chiribiri, A</creatorcontrib><creatorcontrib>Nooralipour, N Z</creatorcontrib><creatorcontrib>Cvetković, Z</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>Batchelor, P</au><au>Chiribiri, A</au><au>Nooralipour, N Z</au><au>Cvetković, Z</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>ARMA regularization of cardiac perfusion modeling</atitle><btitle>2010 IEEE International Conference on Acoustics, Speech and Signal Processing</btitle><stitle>ICASSP</stitle><date>2010-03</date><risdate>2010</risdate><spage>642</spage><epage>645</epage><pages>642-645</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9781424442959</isbn><isbn>1424442958</isbn><eisbn>9781424442966</eisbn><eisbn>1424442966</eisbn><abstract>Cardiac perfusion modelling using ARMA systems is studied. ARMA is a generalization of a recently proposed exponential approximation technique, which was shown to exhibit better performance than the widely used truncated singular value decomposition method. Experiments demonstrate that ARMA achieves results as accurate as the those obtained using the exponential approximation, but it its at the same time less sensitive to additive noise and model order selection.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2010.5495154</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive noise ARMA Blood flow Cardiac perfusion Convolution Deconvolution Educational institutions exponential approximation Fluid flow measurement Magnetic resonance imaging Myocardium Noise robustness robustness Singular value decomposition |
| title | ARMA regularization of cardiac perfusion modeling |
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