Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging
Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experi...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on medical imaging 2009-07, Vol.28 (7), p.1093-1104 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1104 |
---|---|
container_issue | 7 |
container_start_page | 1093 |
container_title | IEEE transactions on medical imaging |
container_volume | 28 |
creator | Sumbul, U. Santos, J.M. Pauly, J.M. |
description | Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. In vivo results are presented for cardiac MRI of healthy volunteers. |
doi_str_mv | 10.1109/TMI.2008.2012030 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_pubmed_primary_19150785</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4749316</ieee_id><sourcerecordid>67423992</sourcerecordid><originalsourceid>FETCH-LOGICAL-c504t-c96c1c555173e3f2dcecd8a44740c93d5377b8c0ac777a9347e65970577b55653</originalsourceid><addsrcrecordid>eNqFkctrVDEYxYModlrdC4JcXNTVrV8eXx6bgtTXSItQR3AX0kxmTJmbjMm9hf73psxQHwvdJCHf7xyScwh5RuGEUjCvFxfzEwag20IZcHhAZhRR9wzFt4dkBkzpHkCyA3JY6zUAFQjmMTmghiIojTPyaT5sS74Jy24Rh9B9CSWG2l0Gn1Mdy-THmFO3yqV7e5vcEH134dYpjO1wGWpOLvnQzQe3jmn9hDxauU0NT_f7Efn6_t3i7GN__vnD_OzNee8RxNh7Iz31iEgVD3zFlj74pXZCKAHe8CVypa60B-eVUs5woYJEowDbNaJEfkROd77b6WoITZ7G4jZ2W-Lgyq3NLto_Jyl-t-t8Y5mSEqVoBq_2BiX_mEId7RCrD5uNSyFP1Wqp2lsM0kYe_5OUSjBuDPsvyCgToIVp4Mu_wOs8ldTyshqVQIZaNQh2kC-51hJW95-jYO-Kt614e1e83RffJC9-D-WXYN90A57vgBhCuB-30A2nkv8EdfGw6w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>857452587</pqid></control><display><type>article</type><title>Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging</title><source>IEEE Electronic Library (IEL)</source><creator>Sumbul, U. ; Santos, J.M. ; Pauly, J.M.</creator><creatorcontrib>Sumbul, U. ; Santos, J.M. ; Pauly, J.M.</creatorcontrib><description>Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. In vivo results are presented for cardiac MRI of healthy volunteers.</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/TMI.2008.2012030</identifier><identifier>PMID: 19150785</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Acceleration ; Algorithms ; Data acquisition ; Dynamic MRI ; Fourier Analysis ; Heart ; Heart - anatomy & histology ; Humans ; Image Processing, Computer-Assisted - methods ; Image reconstruction ; Image resolution ; Image sampling ; In vivo ; Kalman filtering ; Magnetic resonance imaging ; magnetic resonance imaging (MRI) ; Magnetic Resonance Imaging - methods ; Magnetic separation ; non-Cartesian imaging ; real-time MRI ; Spatial resolution ; Time Factors</subject><ispartof>IEEE transactions on medical imaging, 2009-07, Vol.28 (7), p.1093-1104</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-c96c1c555173e3f2dcecd8a44740c93d5377b8c0ac777a9347e65970577b55653</citedby><cites>FETCH-LOGICAL-c504t-c96c1c555173e3f2dcecd8a44740c93d5377b8c0ac777a9347e65970577b55653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4749316$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,315,782,786,798,887,27931,27932,54765</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4749316$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19150785$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sumbul, U.</creatorcontrib><creatorcontrib>Santos, J.M.</creatorcontrib><creatorcontrib>Pauly, J.M.</creatorcontrib><title>Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging</title><title>IEEE transactions on medical imaging</title><addtitle>TMI</addtitle><addtitle>IEEE Trans Med Imaging</addtitle><description>Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. In vivo results are presented for cardiac MRI of healthy volunteers.</description><subject>Acceleration</subject><subject>Algorithms</subject><subject>Data acquisition</subject><subject>Dynamic MRI</subject><subject>Fourier Analysis</subject><subject>Heart</subject><subject>Heart - anatomy & histology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image reconstruction</subject><subject>Image resolution</subject><subject>Image sampling</subject><subject>In vivo</subject><subject>Kalman filtering</subject><subject>Magnetic resonance imaging</subject><subject>magnetic resonance imaging (MRI)</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetic separation</subject><subject>non-Cartesian imaging</subject><subject>real-time MRI</subject><subject>Spatial resolution</subject><subject>Time Factors</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqFkctrVDEYxYModlrdC4JcXNTVrV8eXx6bgtTXSItQR3AX0kxmTJmbjMm9hf73psxQHwvdJCHf7xyScwh5RuGEUjCvFxfzEwag20IZcHhAZhRR9wzFt4dkBkzpHkCyA3JY6zUAFQjmMTmghiIojTPyaT5sS74Jy24Rh9B9CSWG2l0Gn1Mdy-THmFO3yqV7e5vcEH134dYpjO1wGWpOLvnQzQe3jmn9hDxauU0NT_f7Efn6_t3i7GN__vnD_OzNee8RxNh7Iz31iEgVD3zFlj74pXZCKAHe8CVypa60B-eVUs5woYJEowDbNaJEfkROd77b6WoITZ7G4jZ2W-Lgyq3NLto_Jyl-t-t8Y5mSEqVoBq_2BiX_mEId7RCrD5uNSyFP1Wqp2lsM0kYe_5OUSjBuDPsvyCgToIVp4Mu_wOs8ldTyshqVQIZaNQh2kC-51hJW95-jYO-Kt614e1e83RffJC9-D-WXYN90A57vgBhCuB-30A2nkv8EdfGw6w</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Sumbul, U.</creator><creator>Santos, J.M.</creator><creator>Pauly, J.M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090701</creationdate><title>Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging</title><author>Sumbul, U. ; Santos, J.M. ; Pauly, J.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-c96c1c555173e3f2dcecd8a44740c93d5377b8c0ac777a9347e65970577b55653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acceleration</topic><topic>Algorithms</topic><topic>Data acquisition</topic><topic>Dynamic MRI</topic><topic>Fourier Analysis</topic><topic>Heart</topic><topic>Heart - anatomy & histology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image reconstruction</topic><topic>Image resolution</topic><topic>Image sampling</topic><topic>In vivo</topic><topic>Kalman filtering</topic><topic>Magnetic resonance imaging</topic><topic>magnetic resonance imaging (MRI)</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetic separation</topic><topic>non-Cartesian imaging</topic><topic>real-time MRI</topic><topic>Spatial resolution</topic><topic>Time Factors</topic><toplevel>online_resources</toplevel><creatorcontrib>Sumbul, U.</creatorcontrib><creatorcontrib>Santos, J.M.</creatorcontrib><creatorcontrib>Pauly, J.M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</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>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>IEEE transactions on medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sumbul, U.</au><au>Santos, J.M.</au><au>Pauly, J.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging</atitle><jtitle>IEEE transactions on medical imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>2009-07-01</date><risdate>2009</risdate><volume>28</volume><issue>7</issue><spage>1093</spage><epage>1104</epage><pages>1093-1104</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. In vivo results are presented for cardiac MRI of healthy volunteers.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>19150785</pmid><doi>10.1109/TMI.2008.2012030</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0278-0062 |
ispartof | IEEE transactions on medical imaging, 2009-07, Vol.28 (7), p.1093-1104 |
issn | 0278-0062 1558-254X |
language | eng |
recordid | cdi_pubmed_primary_19150785 |
source | IEEE Electronic Library (IEL) |
subjects | Acceleration Algorithms Data acquisition Dynamic MRI Fourier Analysis Heart Heart - anatomy & histology Humans Image Processing, Computer-Assisted - methods Image reconstruction Image resolution Image sampling In vivo Kalman filtering Magnetic resonance imaging magnetic resonance imaging (MRI) Magnetic Resonance Imaging - methods Magnetic separation non-Cartesian imaging real-time MRI Spatial resolution Time Factors |
title | Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T19%3A25%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improved%20Time%20Series%20Reconstruction%20for%20Dynamic%20Magnetic%20Resonance%20Imaging&rft.jtitle=IEEE%20transactions%20on%20medical%20imaging&rft.au=Sumbul,%20U.&rft.date=2009-07-01&rft.volume=28&rft.issue=7&rft.spage=1093&rft.epage=1104&rft.pages=1093-1104&rft.issn=0278-0062&rft.eissn=1558-254X&rft.coden=ITMID4&rft_id=info:doi/10.1109/TMI.2008.2012030&rft_dat=%3Cproquest_RIE%3E67423992%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=857452587&rft_id=info:pmid/19150785&rft_ieee_id=4749316&rfr_iscdi=true |