Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models
Current expert-recommended views for coronary angiography are based on heuristic experience and have not been scientifically studied. We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of mi...
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| Veröffentlicht in: | The International Journal of Cardiovascular Imaging 2009-06, Vol.25 (5), p.455-462 |
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| container_title | The International Journal of Cardiovascular Imaging |
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| creator | Garcia, Joel A. Movassaghi, Babak Casserly, Ivan P. Klein, Andrew J. James Chen, S.-Y. Messenger, John C. Hansgen, Adam Wink, Onno Groves, Bertron M. Carroll, John D. |
| description | Current expert-recommended views for coronary angiography are based on heuristic experience and have not been scientifically studied. We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of minimizing vessel foreshortening and overlap. Using orthogonal 2D images of the coronary tree, 3D models were created from which patient-specific optimal view maps (OVM) allowing quantitative assessment of vessel foreshortening and overlap were generated. Using a novel methodology that averages 3D-based optimal projection geometries, a universal OVM was created for each individual coronary vessel segment that minimized both vessel foreshortening and overlap. A universal OVM model for each coronary segment was generated based on data from 137 patients undergoing coronary angiography. We identified viewing regions for each vessel segment achieving a mean vessel foreshortening value of 5.8 ± 3.9% for the left coronary artery (LCA) and 5.6 ± 3.6% for the right coronary artery (RCA). The overall mean overlap values achieved were 8.7 ± 7.9% for the LCA and 4.6 ± 3.2% for the RCA. This scientifically-based OVM evaluation of coronary vessel segments provides the means to facilitate acquisitions during coronary angiography and interventions that minimize imaging inaccuracies related to foreshortening and overlap, improving the accuracy, efficiency, and safety of diagnostic and interventional coronary procedures. |
| doi_str_mv | 10.1007/s10554-008-9402-5 |
| format | Article |
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We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of minimizing vessel foreshortening and overlap. Using orthogonal 2D images of the coronary tree, 3D models were created from which patient-specific optimal view maps (OVM) allowing quantitative assessment of vessel foreshortening and overlap were generated. Using a novel methodology that averages 3D-based optimal projection geometries, a universal OVM was created for each individual coronary vessel segment that minimized both vessel foreshortening and overlap. A universal OVM model for each coronary segment was generated based on data from 137 patients undergoing coronary angiography. We identified viewing regions for each vessel segment achieving a mean vessel foreshortening value of 5.8 ± 3.9% for the left coronary artery (LCA) and 5.6 ± 3.6% for the right coronary artery (RCA). The overall mean overlap values achieved were 8.7 ± 7.9% for the LCA and 4.6 ± 3.2% for the RCA. This scientifically-based OVM evaluation of coronary vessel segments provides the means to facilitate acquisitions during coronary angiography and interventions that minimize imaging inaccuracies related to foreshortening and overlap, improving the accuracy, efficiency, and safety of diagnostic and interventional coronary procedures.</description><identifier>ISSN: 1569-5794</identifier><identifier>EISSN: 1573-0743</identifier><identifier>EISSN: 1875-8312</identifier><identifier>DOI: 10.1007/s10554-008-9402-5</identifier><identifier>PMID: 19101820</identifier><identifier>CODEN: IJCIBI</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aged ; Algorithms ; Cardiac Imaging ; Cardiology ; Cineangiography ; Computer Simulation ; Coronary Angiography ; Coronary Artery Disease - diagnostic imaging ; Female ; Humans ; Imaging ; Imaging, Three-Dimensional ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Models, Anatomic ; Models, Cardiovascular ; Original Paper ; Predictive Value of Tests ; Radiographic Image Interpretation, Computer-Assisted ; Radiology ; Reproducibility of Results ; Retrospective Studies</subject><ispartof>The International Journal of Cardiovascular Imaging, 2009-06, Vol.25 (5), p.455-462</ispartof><rights>Springer Science+Business Media, B.V. 2008</rights><rights>Springer Science+Business Media, B.V. 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-7bf72867eeb08e32804efb579ddaa8792dfbbd7566a4ce95939d6614a85f4e453</citedby><cites>FETCH-LOGICAL-c369t-7bf72867eeb08e32804efb579ddaa8792dfbbd7566a4ce95939d6614a85f4e453</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/s10554-008-9402-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10554-008-9402-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19101820$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Garcia, Joel A.</creatorcontrib><creatorcontrib>Movassaghi, Babak</creatorcontrib><creatorcontrib>Casserly, Ivan P.</creatorcontrib><creatorcontrib>Klein, Andrew J.</creatorcontrib><creatorcontrib>James Chen, S.-Y.</creatorcontrib><creatorcontrib>Messenger, John C.</creatorcontrib><creatorcontrib>Hansgen, Adam</creatorcontrib><creatorcontrib>Wink, Onno</creatorcontrib><creatorcontrib>Groves, Bertron M.</creatorcontrib><creatorcontrib>Carroll, John D.</creatorcontrib><title>Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models</title><title>The International Journal of Cardiovascular Imaging</title><addtitle>Int J Cardiovasc Imaging</addtitle><addtitle>Int J Cardiovasc Imaging</addtitle><description>Current expert-recommended views for coronary angiography are based on heuristic experience and have not been scientifically studied. We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of minimizing vessel foreshortening and overlap. Using orthogonal 2D images of the coronary tree, 3D models were created from which patient-specific optimal view maps (OVM) allowing quantitative assessment of vessel foreshortening and overlap were generated. Using a novel methodology that averages 3D-based optimal projection geometries, a universal OVM was created for each individual coronary vessel segment that minimized both vessel foreshortening and overlap. A universal OVM model for each coronary segment was generated based on data from 137 patients undergoing coronary angiography. We identified viewing regions for each vessel segment achieving a mean vessel foreshortening value of 5.8 ± 3.9% for the left coronary artery (LCA) and 5.6 ± 3.6% for the right coronary artery (RCA). The overall mean overlap values achieved were 8.7 ± 7.9% for the LCA and 4.6 ± 3.2% for the RCA. This scientifically-based OVM evaluation of coronary vessel segments provides the means to facilitate acquisitions during coronary angiography and interventions that minimize imaging inaccuracies related to foreshortening and overlap, improving the accuracy, efficiency, and safety of diagnostic and interventional coronary procedures.</description><subject>Aged</subject><subject>Algorithms</subject><subject>Cardiac Imaging</subject><subject>Cardiology</subject><subject>Cineangiography</subject><subject>Computer Simulation</subject><subject>Coronary Angiography</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Models, Anatomic</subject><subject>Models, Cardiovascular</subject><subject>Original Paper</subject><subject>Predictive Value of Tests</subject><subject>Radiographic Image Interpretation, Computer-Assisted</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><issn>1569-5794</issn><issn>1573-0743</issn><issn>1875-8312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kc1q3TAQRkVpaH7aB-imiC66UzuSJctelqRtCoFuUuhOyPb41sG2biQ5weu8eMbcC4FCVxLM0dHMfIy9l_BZAtgvSYIxWgBUotaghHnFzqSxhQCri9fbvayFsbU-Zecp3QGAAlW8YaeyliArBWfs6QozxmmYfR7CzEPPwz4Pkx_5w4CPw7zjEXdUSbwPkf8R0a-8DTHMPq7cz1TaRb__u_LGJ-w4KTy_X_ych0zGByTGj2sa0qYursjWkizHpc2ET6HDMb1lJ70fE747nhfs9_dvt5fX4ubXj5-XX29EW5R1FrbprapKi9hAhYWqQGPf0Hhd531la9X1TdNZU5Zet1ibuqi7spTaV6bXqE1xwT4dvPsY7hdM2U1DanEc_YxhSa60SpMUCPz4D3gXlkiDJKdop4pAS5A8QG0MKUXs3T7S4uLqJLgtHneIx1E8bovHbR18OIqXZsLu5cUxDwLUAUhUmncYX37-v_UZ0xqc1A</recordid><startdate>20090601</startdate><enddate>20090601</enddate><creator>Garcia, Joel A.</creator><creator>Movassaghi, Babak</creator><creator>Casserly, Ivan P.</creator><creator>Klein, Andrew J.</creator><creator>James Chen, S.-Y.</creator><creator>Messenger, John C.</creator><creator>Hansgen, Adam</creator><creator>Wink, Onno</creator><creator>Groves, Bertron M.</creator><creator>Carroll, John D.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20090601</creationdate><title>Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models</title><author>Garcia, Joel A. ; 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We sought to identify optimal viewing regions for first and second order vessel segments of the coronary arteries that provide optimal diagnostic value in terms of minimizing vessel foreshortening and overlap. Using orthogonal 2D images of the coronary tree, 3D models were created from which patient-specific optimal view maps (OVM) allowing quantitative assessment of vessel foreshortening and overlap were generated. Using a novel methodology that averages 3D-based optimal projection geometries, a universal OVM was created for each individual coronary vessel segment that minimized both vessel foreshortening and overlap. A universal OVM model for each coronary segment was generated based on data from 137 patients undergoing coronary angiography. We identified viewing regions for each vessel segment achieving a mean vessel foreshortening value of 5.8 ± 3.9% for the left coronary artery (LCA) and 5.6 ± 3.6% for the right coronary artery (RCA). The overall mean overlap values achieved were 8.7 ± 7.9% for the LCA and 4.6 ± 3.2% for the RCA. This scientifically-based OVM evaluation of coronary vessel segments provides the means to facilitate acquisitions during coronary angiography and interventions that minimize imaging inaccuracies related to foreshortening and overlap, improving the accuracy, efficiency, and safety of diagnostic and interventional coronary procedures.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>19101820</pmid><doi>10.1007/s10554-008-9402-5</doi><tpages>8</tpages></addata></record> |
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| subjects | Aged Algorithms Cardiac Imaging Cardiology Cineangiography Computer Simulation Coronary Angiography Coronary Artery Disease - diagnostic imaging Female Humans Imaging Imaging, Three-Dimensional Male Medicine Medicine & Public Health Middle Aged Models, Anatomic Models, Cardiovascular Original Paper Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Radiology Reproducibility of Results Retrospective Studies |
| title | Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models |
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