Fast method for correcting image misregistration due to organ motion in time-series MRI data
Time‐series MRI data often suffers from image misalignment due to patient movement and respiratory and other physiologic motion during the acquisition process. It is necessary that this misalignment be corrected prior to any automated quantitative analysis. In this article a fast and automated techn...
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| Veröffentlicht in: | Magnetic resonance in medicine 2003-03, Vol.49 (3), p.506-514 |
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| container_title | Magnetic resonance in medicine |
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| creator | Gupta, Sandeep N. Solaiyappan, Meiyappan Beache, Garth M. Arai, Andrew E. Foo, Thomas K.F. |
| description | Time‐series MRI data often suffers from image misalignment due to patient movement and respiratory and other physiologic motion during the acquisition process. It is necessary that this misalignment be corrected prior to any automated quantitative analysis. In this article a fast and automated technique for removing in‐plane misalignment from time‐series MRI data is presented. The method is computationally efficient, robust, and fine‐tuned for the clinical setting. The method was implemented and tested on data from 21 human subjects, including myocardial perfusion imaging, renal perfusion imaging, and blood‐oxygen level‐dependent cardiac T 2* imaging. In these applications 10‐fold or better reduction in image misalignment is reported. The improvement after registration on representative time–intensity curves is shown. Although the method currently corrects translation motion using image center of mass, the mathematical framework of our approach may be extended to correct rotation and other higher‐order displacements. Magn Reson Med 49:506–514, 2003. © 2003 Wiley‐Liss, Inc. |
| doi_str_mv | 10.1002/mrm.10394 |
| format | Article |
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It is necessary that this misalignment be corrected prior to any automated quantitative analysis. In this article a fast and automated technique for removing in‐plane misalignment from time‐series MRI data is presented. The method is computationally efficient, robust, and fine‐tuned for the clinical setting. The method was implemented and tested on data from 21 human subjects, including myocardial perfusion imaging, renal perfusion imaging, and blood‐oxygen level‐dependent cardiac T 2* imaging. In these applications 10‐fold or better reduction in image misalignment is reported. The improvement after registration on representative time–intensity curves is shown. Although the method currently corrects translation motion using image center of mass, the mathematical framework of our approach may be extended to correct rotation and other higher‐order displacements. 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Nmr spectrometry ; Signal Processing, Computer-Assisted ; Urinary system</subject><ispartof>Magnetic resonance in medicine, 2003-03, Vol.49 (3), p.506-514</ispartof><rights>Copyright © 2003 Wiley‐Liss, Inc.</rights><rights>2003 INIST-CNRS</rights><rights>Copyright 2003 Wiley-Liss, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4264-8c6b2e086cb57f8b737dec892537d8a4d46a9604a2890bbf7729361575d464ed3</citedby><cites>FETCH-LOGICAL-c4264-8c6b2e086cb57f8b737dec892537d8a4d46a9604a2890bbf7729361575d464ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fmrm.10394$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fmrm.10394$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,1428,27905,27906,45555,45556,46390,46814</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14616946$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12594754$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gupta, Sandeep N.</creatorcontrib><creatorcontrib>Solaiyappan, Meiyappan</creatorcontrib><creatorcontrib>Beache, Garth M.</creatorcontrib><creatorcontrib>Arai, Andrew E.</creatorcontrib><creatorcontrib>Foo, Thomas K.F.</creatorcontrib><title>Fast method for correcting image misregistration due to organ motion in time-series MRI data</title><title>Magnetic resonance in medicine</title><addtitle>Magn. Reson. Med</addtitle><description>Time‐series MRI data often suffers from image misalignment due to patient movement and respiratory and other physiologic motion during the acquisition process. It is necessary that this misalignment be corrected prior to any automated quantitative analysis. In this article a fast and automated technique for removing in‐plane misalignment from time‐series MRI data is presented. The method is computationally efficient, robust, and fine‐tuned for the clinical setting. The method was implemented and tested on data from 21 human subjects, including myocardial perfusion imaging, renal perfusion imaging, and blood‐oxygen level‐dependent cardiac T 2* imaging. In these applications 10‐fold or better reduction in image misalignment is reported. The improvement after registration on representative time–intensity curves is shown. Although the method currently corrects translation motion using image center of mass, the mathematical framework of our approach may be extended to correct rotation and other higher‐order displacements. Magn Reson Med 49:506–514, 2003. © 2003 Wiley‐Liss, Inc.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>BOLD imaging</subject><subject>Cardiovascular system</subject><subject>Heart - physiology</subject><subject>Humans</subject><subject>image registration</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Kidney - physiology</subject><subject>Magnetic Resonance Angiography - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical sciences</subject><subject>motion correction</subject><subject>Movement - physiology</subject><subject>Perfusion</subject><subject>perfusion imaging</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Urinary system</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kM9PHCEUgEmjqav24D_QcLFJD6MMMDAc1XS3Rrc11qYXE8Iwb7bozGCBjfW_F91VT5544X3v14fQXkkOSkLo4RCGHDDFP6BJWVFa0ErxDTQhkpOClYpvoe0YbwghSkn-EW2VT4Cs-ARdT01MeID017e48wFbHwLY5MYFdoNZAB5cDLBwMQWTnB9xuwScPPZhYUY8-Oc_N-LkBigiBAcRzy9PcWuS2UWbnekjfFq_O-j39NvVyffi_Ofs9OTovLCcCl7UVjQUSC1sU8mubiSTLdha0SoHteEtF0YJwg2tFWmaTkqqmCgrWeUMh5btoC-rvnfB_1tCTDovbaHvzQh-GbVkhDGm6gx-XYE2-JjP6vRdyFeGB10S_aRSZ5X6WWVmP6-bLpsB2jdy7S4D-2vARGv6LpjRuvjGcVEKxUXmDlfcvevh4f2Jen45fxldrCqydfj_WmHCrRZZTqX__JhpfnxxNp39utKUPQIRsZk_</recordid><startdate>200303</startdate><enddate>200303</enddate><creator>Gupta, Sandeep N.</creator><creator>Solaiyappan, Meiyappan</creator><creator>Beache, Garth M.</creator><creator>Arai, Andrew E.</creator><creator>Foo, Thomas K.F.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Williams & Wilkins</general><scope>BSCLL</scope><scope>IQODW</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>7X8</scope></search><sort><creationdate>200303</creationdate><title>Fast method for correcting image misregistration due to organ motion in time-series MRI data</title><author>Gupta, Sandeep N. ; Solaiyappan, Meiyappan ; Beache, Garth M. ; Arai, Andrew E. ; Foo, Thomas K.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4264-8c6b2e086cb57f8b737dec892537d8a4d46a9604a2890bbf7729361575d464ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>BOLD imaging</topic><topic>Cardiovascular system</topic><topic>Heart - physiology</topic><topic>Humans</topic><topic>image registration</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Kidney - physiology</topic><topic>Magnetic Resonance Angiography - methods</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical sciences</topic><topic>motion correction</topic><topic>Movement - physiology</topic><topic>Perfusion</topic><topic>perfusion imaging</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Urinary system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gupta, Sandeep N.</creatorcontrib><creatorcontrib>Solaiyappan, Meiyappan</creatorcontrib><creatorcontrib>Beache, Garth M.</creatorcontrib><creatorcontrib>Arai, Andrew E.</creatorcontrib><creatorcontrib>Foo, Thomas K.F.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gupta, Sandeep N.</au><au>Solaiyappan, Meiyappan</au><au>Beache, Garth M.</au><au>Arai, Andrew E.</au><au>Foo, Thomas K.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fast method for correcting image misregistration due to organ motion in time-series MRI data</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn. Reson. Med</addtitle><date>2003-03</date><risdate>2003</risdate><volume>49</volume><issue>3</issue><spage>506</spage><epage>514</epage><pages>506-514</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><coden>MRMEEN</coden><abstract>Time‐series MRI data often suffers from image misalignment due to patient movement and respiratory and other physiologic motion during the acquisition process. It is necessary that this misalignment be corrected prior to any automated quantitative analysis. In this article a fast and automated technique for removing in‐plane misalignment from time‐series MRI data is presented. The method is computationally efficient, robust, and fine‐tuned for the clinical setting. The method was implemented and tested on data from 21 human subjects, including myocardial perfusion imaging, renal perfusion imaging, and blood‐oxygen level‐dependent cardiac T 2* imaging. In these applications 10‐fold or better reduction in image misalignment is reported. The improvement after registration on representative time–intensity curves is shown. Although the method currently corrects translation motion using image center of mass, the mathematical framework of our approach may be extended to correct rotation and other higher‐order displacements. Magn Reson Med 49:506–514, 2003. © 2003 Wiley‐Liss, Inc.</abstract><cop>New York</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>12594754</pmid><doi>10.1002/mrm.10394</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Biological and medical sciences BOLD imaging Cardiovascular system Heart - physiology Humans image registration Investigative techniques, diagnostic techniques (general aspects) Kidney - physiology Magnetic Resonance Angiography - methods Magnetic Resonance Imaging - methods Medical sciences motion correction Movement - physiology Perfusion perfusion imaging Radiodiagnosis. Nmr imagery. Nmr spectrometry Signal Processing, Computer-Assisted Urinary system |
| title | Fast method for correcting image misregistration due to organ motion in time-series MRI data |
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