Adaptive Postprocessing Techniques for Myocardial Tissue Tracking with Displacement-encoded MR Imaging
The purpose of this study was to prospectively assess the effects of two adaptive postprocessing techniques on the evaluation of myocardial function with displacement-encoded magnetic resonance (MR) imaging, including sensitivity for abnormal wall motion, with two-dimensional echocardiography as the...
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| Veröffentlicht in: | Radiology 2008, Vol.246 (1), p.229-240 |
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| creator | HAN WEN MARSOLO, Keith A BENNETT, Eric E KUTTEN, Kwame S LEWIS, Ryan P LIPPS, David B EPSTEIN, Neal D PLEHN, Jonathan F CROISILLE, Pierre |
| description | The purpose of this study was to prospectively assess the effects of two adaptive postprocessing techniques on the evaluation of myocardial function with displacement-encoded magnetic resonance (MR) imaging, including sensitivity for abnormal wall motion, with two-dimensional echocardiography as the reference standard. Sixteen patients (11 men, five women; age range, 26-74 years) and 12 volunteers (six men, six women; age range, 29-53 years) underwent breath-hold MR imaging. Institutional review board approval and informed consent were obtained. Adaptive phase-unwrapping and spatial filtering techniques were compared with conventional phase-unwrapping and spatial filtering techniques. Use of the adaptive techniques led to a reduced rate of failure with the phase-unwrapping technique from 18.9% to 0.6% (P < .001), resulted in lower variability of segmental strain measurements among healthy volunteers (P < .001 to P = .02), and increased the sensitivity of quantitative detection of abnormal segments in patients from 82.5% to 87.7% (P = .034). The adaptive techniques improved the semiautomated postprocessing of displacement-encoded cardiac images and increased the sensitivity of detection of abnormal wall motion in patients.
http://radiology.rsnajnls.org/cgi/content/full/246/1/229/DC1. |
| doi_str_mv | 10.1148/radiol.2461070053 |
| format | Article |
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http://radiology.rsnajnls.org/cgi/content/full/246/1/229/DC1.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Cardiology. Vascular system</subject><subject>Computer Science</subject><subject>Engineering Sciences</subject><subject>Female</subject><subject>Heart</subject><subject>Heart - physiopathology</subject><subject>Humans</subject><subject>Image Processing</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical Imaging</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Modeling and Simulation</subject><subject>Myocarditis. Cardiomyopathies</subject><subject>Prospective Studies</subject><subject>Signal and Image Processing</subject><issn>0033-8419</issn><issn>1527-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0c1u1DAUBWALgejQ8gBskDcgsUjraztxshy1QCtNBULTtXXjn44hiQc7U9S3r0czapesLFnfPfL1IeQDsHMA2V4ktCEO51w2wBRjtXhFFlBzVYGA-jVZMCZE1UroTsi7nH8zBrJu1VtyAi3rmlqoBfFLi9s5PDj6M-Z5m6JxOYfpnq6d2Uzh785l6mOit4_RYLIBB7oOOe8cXSc0f_byX5g39Crk7YDGjW6aKzeZaJ2lt7_ozYj3BZ2RNx6H7N4fz1Ny9-3r-vK6Wv34fnO5XFVGCjVXLVjVMCX6XjhAKUFwAMURhG8QLUNvvK173ynLuTC99FAr2fuad870yopT8uWQu8FBb1MYMT3qiEFfL1d6f8eYlEJ24gGK_XywZev9nrMeQzZuGHBycZe1Kt-luob_F_KS2ZU-CoQDNCnmnJx_fgIwvW9MHxrTL42VmY_H8F0_OvsycayogE9HgNng4BNOJuRnx0sKUy2IJxVOoBI</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>HAN WEN</creator><creator>MARSOLO, Keith A</creator><creator>BENNETT, Eric E</creator><creator>KUTTEN, Kwame S</creator><creator>LEWIS, Ryan P</creator><creator>LIPPS, David B</creator><creator>EPSTEIN, Neal D</creator><creator>PLEHN, Jonathan F</creator><creator>CROISILLE, Pierre</creator><general>Radiological Society of North America</general><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope></search><sort><creationdate>2008</creationdate><title>Adaptive Postprocessing Techniques for Myocardial Tissue Tracking with Displacement-encoded MR Imaging</title><author>HAN WEN ; MARSOLO, Keith A ; BENNETT, Eric E ; KUTTEN, Kwame S ; LEWIS, Ryan P ; LIPPS, David B ; EPSTEIN, Neal D ; PLEHN, Jonathan F ; CROISILLE, Pierre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-81d76073bb3e1a441321172a13f6aad0afcfd5bf97d223cb4f1574bf529ecb7d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Cardiology. Vascular system</topic><topic>Computer Science</topic><topic>Engineering Sciences</topic><topic>Female</topic><topic>Heart</topic><topic>Heart - physiopathology</topic><topic>Humans</topic><topic>Image Processing</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical Imaging</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Modeling and Simulation</topic><topic>Myocarditis. Cardiomyopathies</topic><topic>Prospective Studies</topic><topic>Signal and Image Processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HAN WEN</creatorcontrib><creatorcontrib>MARSOLO, Keith A</creatorcontrib><creatorcontrib>BENNETT, Eric E</creatorcontrib><creatorcontrib>KUTTEN, Kwame S</creatorcontrib><creatorcontrib>LEWIS, Ryan P</creatorcontrib><creatorcontrib>LIPPS, David B</creatorcontrib><creatorcontrib>EPSTEIN, Neal D</creatorcontrib><creatorcontrib>PLEHN, Jonathan F</creatorcontrib><creatorcontrib>CROISILLE, Pierre</creatorcontrib><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>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HAN WEN</au><au>MARSOLO, Keith A</au><au>BENNETT, Eric E</au><au>KUTTEN, Kwame S</au><au>LEWIS, Ryan P</au><au>LIPPS, David B</au><au>EPSTEIN, Neal D</au><au>PLEHN, Jonathan F</au><au>CROISILLE, Pierre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Postprocessing Techniques for Myocardial Tissue Tracking with Displacement-encoded MR Imaging</atitle><jtitle>Radiology</jtitle><addtitle>Radiology</addtitle><date>2008</date><risdate>2008</risdate><volume>246</volume><issue>1</issue><spage>229</spage><epage>240</epage><pages>229-240</pages><issn>0033-8419</issn><eissn>1527-1315</eissn><coden>RADLAX</coden><abstract>The purpose of this study was to prospectively assess the effects of two adaptive postprocessing techniques on the evaluation of myocardial function with displacement-encoded magnetic resonance (MR) imaging, including sensitivity for abnormal wall motion, with two-dimensional echocardiography as the reference standard. Sixteen patients (11 men, five women; age range, 26-74 years) and 12 volunteers (six men, six women; age range, 29-53 years) underwent breath-hold MR imaging. Institutional review board approval and informed consent were obtained. Adaptive phase-unwrapping and spatial filtering techniques were compared with conventional phase-unwrapping and spatial filtering techniques. Use of the adaptive techniques led to a reduced rate of failure with the phase-unwrapping technique from 18.9% to 0.6% (P < .001), resulted in lower variability of segmental strain measurements among healthy volunteers (P < .001 to P = .02), and increased the sensitivity of quantitative detection of abnormal segments in patients from 82.5% to 87.7% (P = .034). The adaptive techniques improved the semiautomated postprocessing of displacement-encoded cardiac images and increased the sensitivity of detection of abnormal wall motion in patients.
http://radiology.rsnajnls.org/cgi/content/full/246/1/229/DC1.</abstract><cop>Oak Brook, IL</cop><pub>Radiological Society of North America</pub><pmid>18096537</pmid><doi>10.1148/radiol.2461070053</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Biological and medical sciences Cardiology. Vascular system Computer Science Engineering Sciences Female Heart Heart - physiopathology Humans Image Processing Magnetic Resonance Imaging - methods Male Medical Imaging Medical sciences Middle Aged Modeling and Simulation Myocarditis. Cardiomyopathies Prospective Studies Signal and Image Processing |
| title | Adaptive Postprocessing Techniques for Myocardial Tissue Tracking with Displacement-encoded MR Imaging |
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