Impact of analyzing fewer image frames per segment during offline volumetric radiofrequency-based intravascular ultrasound measurements of target lesions prior to percutaneous coronary interventions
In the present study, we evaluated the impact of a 50% reduction in number of image frames (every second frame) on the analysis time and variability of offline volumetric radiofrequency-based intravascular ultrasound (RF-IVUS) measurements in target lesions prior to percutaneous coronary interventio...
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| Veröffentlicht in: | International Journal of Cardiovascular Imaging 2012-03, Vol.28 (3), p.479-489 |
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| container_title | International Journal of Cardiovascular Imaging |
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| creator | Huisman, Jennifer Hartmann, Marc Mintz, Gary S. van Houwelingen, Gert K. Stoel, Martin G. de Man, Frits H. A. F. Louwerenburg, Hans W. von Birgelen, Clemens |
| description | In the present study, we evaluated the impact of a 50% reduction in number of image frames (every second frame) on the analysis time and variability of offline volumetric radiofrequency-based intravascular ultrasound (RF-IVUS) measurements in target lesions prior to percutaneous coronary interventions (PCI). Volumetric RF-IVUS data of vessel geometry and plaque composition are generally obtained by a semi-automated analysis process that includes time-consuming manual contour editing. A reduction in the number of frames used for volumetric analysis may speed up the analysis, but could increase measurement variability. We repeatedly performed offline volumetric analyses in RF-IVUS image sets of 20 mm-long coronary segments that contained 30 de novo lesions prior to PCI. A 50% reduction in frames decreased the analysis time significantly (from 57.5 ± 7.3 to 35.7 ± 3.7 min;
P
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| doi_str_mv | 10.1007/s10554-011-9843-0 |
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P
< 0.0001) while geometric and compositional RF-IVUS measurements did not differ significantly from measurements obtained from all frames. The variability between measurements on the reduced number of frames versus all frames was comparable to the intra-observer measurement variability. In target lesions prior to PCI, offline volumetric RF-IVUS analyses can be performed using a reduced number of image frames (every second frame). This reduces the time of analysis without substantially increasing measurement variability.</description><identifier>ISSN: 1569-5794</identifier><identifier>EISSN: 1573-0743</identifier><identifier>EISSN: 1875-8312</identifier><identifier>DOI: 10.1007/s10554-011-9843-0</identifier><identifier>PMID: 21424153</identifier><identifier>CODEN: IJCIBI</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aged ; Angioplasty, Balloon, Coronary ; Cardiac Imaging ; Cardiology ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - therapy ; Coronary Vessels - diagnostic imaging ; Data processing ; Female ; Humans ; Image processing ; Image Processing, Computer-Assisted ; Imaging ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Netherlands ; Observer Variation ; Original Paper ; Plaques ; Predictive Value of Tests ; Radiology ; Reproducibility of Results ; Time Factors ; Ultrasonography, Interventional ; Ultrasound</subject><ispartof>International Journal of Cardiovascular Imaging, 2012-03, Vol.28 (3), p.479-489</ispartof><rights>The Author(s) 2011</rights><rights>Springer Science+Business Media, B.V. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-ada1b6e762f61549eded696c574d8d1bf4fa6930f34403375e4f351e138e161b3</citedby><cites>FETCH-LOGICAL-c503t-ada1b6e762f61549eded696c574d8d1bf4fa6930f34403375e4f351e138e161b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10554-011-9843-0$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10554-011-9843-0$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21424153$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huisman, Jennifer</creatorcontrib><creatorcontrib>Hartmann, Marc</creatorcontrib><creatorcontrib>Mintz, Gary S.</creatorcontrib><creatorcontrib>van Houwelingen, Gert K.</creatorcontrib><creatorcontrib>Stoel, Martin G.</creatorcontrib><creatorcontrib>de Man, Frits H. A. F.</creatorcontrib><creatorcontrib>Louwerenburg, Hans W.</creatorcontrib><creatorcontrib>von Birgelen, Clemens</creatorcontrib><title>Impact of analyzing fewer image frames per segment during offline volumetric radiofrequency-based intravascular ultrasound measurements of target lesions prior to percutaneous coronary interventions</title><title>International Journal of Cardiovascular Imaging</title><addtitle>Int J Cardiovasc Imaging</addtitle><addtitle>Int J Cardiovasc Imaging</addtitle><description>In the present study, we evaluated the impact of a 50% reduction in number of image frames (every second frame) on the analysis time and variability of offline volumetric radiofrequency-based intravascular ultrasound (RF-IVUS) measurements in target lesions prior to percutaneous coronary interventions (PCI). Volumetric RF-IVUS data of vessel geometry and plaque composition are generally obtained by a semi-automated analysis process that includes time-consuming manual contour editing. A reduction in the number of frames used for volumetric analysis may speed up the analysis, but could increase measurement variability. We repeatedly performed offline volumetric analyses in RF-IVUS image sets of 20 mm-long coronary segments that contained 30 de novo lesions prior to PCI. A 50% reduction in frames decreased the analysis time significantly (from 57.5 ± 7.3 to 35.7 ± 3.7 min;
P
< 0.0001) while geometric and compositional RF-IVUS measurements did not differ significantly from measurements obtained from all frames. The variability between measurements on the reduced number of frames versus all frames was comparable to the intra-observer measurement variability. In target lesions prior to PCI, offline volumetric RF-IVUS analyses can be performed using a reduced number of image frames (every second frame). This reduces the time of analysis without substantially increasing measurement variability.</description><subject>Aged</subject><subject>Angioplasty, Balloon, Coronary</subject><subject>Cardiac Imaging</subject><subject>Cardiology</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - therapy</subject><subject>Coronary Vessels - diagnostic imaging</subject><subject>Data processing</subject><subject>Female</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Netherlands</subject><subject>Observer Variation</subject><subject>Original Paper</subject><subject>Plaques</subject><subject>Predictive Value of Tests</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Time Factors</subject><subject>Ultrasonography, Interventional</subject><subject>Ultrasound</subject><issn>1569-5794</issn><issn>1573-0743</issn><issn>1875-8312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkk1v1DAQhiMEoqXwA7ggS1x6CXjij2wuSKjio1IlLnC2vM54cZXYix0vWn4gv6s2KVVBQpw8tp95Z8Z-m-Y50FdAaf86ARWCtxSgHTactfRBcwqiL0HP2cMay6EV_cBPmicpXVNKO9qxx81JB7zjINhp8_Ny3muzkGCJ9no6_nB-Ryx-x0jcrHdIbNQzJrIvBwl3M_qFjDlWKlg7OY_kEKY84xKdIVGPLtiI3zJ6c2y3OuFInF-iPuhk8qQjyVPZpZD9SGbUKUesmqk2sOi4w4VMmFzwpWR0IZIl1NomL9pjyImYEIPX8VhlMR5KboWfNo-snhI-u13Pmi_v332--NheffpwefH2qjWCsqXVo4atxF52VoLgA444ykEa0fNxM8LWcqvlwKhlnFPGeoHcMgEIbIMgYcvOmjer7j5vZxwN1tkmVVqdS08qaKf-vPHuq9qFg2Ksk6yHInB-KxBDeaW0qNklg9O0jqegYxugEpj8P0rpINhGdFX15V_odcix_OcvipbaUnSFgpUyMaQU0d71DbRyvVoNpYqhVDWUoiXnxf2B7zJ-O6gA3QqkfXUFxvul_6V6Aw2k3XA</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Huisman, Jennifer</creator><creator>Hartmann, Marc</creator><creator>Mintz, Gary S.</creator><creator>van Houwelingen, Gert K.</creator><creator>Stoel, Martin G.</creator><creator>de Man, Frits H. 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F. ; Louwerenburg, Hans W. ; von Birgelen, Clemens</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-ada1b6e762f61549eded696c574d8d1bf4fa6930f34403375e4f351e138e161b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Aged</topic><topic>Angioplasty, Balloon, Coronary</topic><topic>Cardiac Imaging</topic><topic>Cardiology</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - therapy</topic><topic>Coronary Vessels - diagnostic imaging</topic><topic>Data processing</topic><topic>Female</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Netherlands</topic><topic>Observer Variation</topic><topic>Original Paper</topic><topic>Plaques</topic><topic>Predictive Value of Tests</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Time Factors</topic><topic>Ultrasonography, Interventional</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huisman, Jennifer</creatorcontrib><creatorcontrib>Hartmann, Marc</creatorcontrib><creatorcontrib>Mintz, Gary S.</creatorcontrib><creatorcontrib>van Houwelingen, Gert K.</creatorcontrib><creatorcontrib>Stoel, Martin G.</creatorcontrib><creatorcontrib>de Man, Frits H. 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F.</creatorcontrib><creatorcontrib>Louwerenburg, Hans W.</creatorcontrib><creatorcontrib>von Birgelen, Clemens</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International Journal of Cardiovascular Imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huisman, Jennifer</au><au>Hartmann, Marc</au><au>Mintz, Gary S.</au><au>van Houwelingen, Gert K.</au><au>Stoel, Martin G.</au><au>de Man, Frits H. A. F.</au><au>Louwerenburg, Hans W.</au><au>von Birgelen, Clemens</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of analyzing fewer image frames per segment during offline volumetric radiofrequency-based intravascular ultrasound measurements of target lesions prior to percutaneous coronary interventions</atitle><jtitle>International Journal of Cardiovascular Imaging</jtitle><stitle>Int J Cardiovasc Imaging</stitle><addtitle>Int J Cardiovasc Imaging</addtitle><date>2012-03-01</date><risdate>2012</risdate><volume>28</volume><issue>3</issue><spage>479</spage><epage>489</epage><pages>479-489</pages><issn>1569-5794</issn><eissn>1573-0743</eissn><eissn>1875-8312</eissn><coden>IJCIBI</coden><abstract>In the present study, we evaluated the impact of a 50% reduction in number of image frames (every second frame) on the analysis time and variability of offline volumetric radiofrequency-based intravascular ultrasound (RF-IVUS) measurements in target lesions prior to percutaneous coronary interventions (PCI). Volumetric RF-IVUS data of vessel geometry and plaque composition are generally obtained by a semi-automated analysis process that includes time-consuming manual contour editing. A reduction in the number of frames used for volumetric analysis may speed up the analysis, but could increase measurement variability. We repeatedly performed offline volumetric analyses in RF-IVUS image sets of 20 mm-long coronary segments that contained 30 de novo lesions prior to PCI. A 50% reduction in frames decreased the analysis time significantly (from 57.5 ± 7.3 to 35.7 ± 3.7 min;
P
< 0.0001) while geometric and compositional RF-IVUS measurements did not differ significantly from measurements obtained from all frames. The variability between measurements on the reduced number of frames versus all frames was comparable to the intra-observer measurement variability. In target lesions prior to PCI, offline volumetric RF-IVUS analyses can be performed using a reduced number of image frames (every second frame). This reduces the time of analysis without substantially increasing measurement variability.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>21424153</pmid><doi>10.1007/s10554-011-9843-0</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1569-5794 |
| ispartof | International Journal of Cardiovascular Imaging, 2012-03, Vol.28 (3), p.479-489 |
| issn | 1569-5794 1573-0743 1875-8312 |
| language | eng |
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| source | MEDLINE; SpringerNature Journals |
| subjects | Aged Angioplasty, Balloon, Coronary Cardiac Imaging Cardiology Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - therapy Coronary Vessels - diagnostic imaging Data processing Female Humans Image processing Image Processing, Computer-Assisted Imaging Male Medicine Medicine & Public Health Middle Aged Netherlands Observer Variation Original Paper Plaques Predictive Value of Tests Radiology Reproducibility of Results Time Factors Ultrasonography, Interventional Ultrasound |
| title | Impact of analyzing fewer image frames per segment during offline volumetric radiofrequency-based intravascular ultrasound measurements of target lesions prior to percutaneous coronary interventions |
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