Quantitative Mitral Valve Modeling Using Real-Time Three-Dimensional Echocardiography: Technique and Repeatability
Background Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive anal...
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creator | Jassar, Arminder Singh, MBBS Brinster, Clayton J., MD Vergnat, Mathieu, MD Robb, J. Daniel, MBBS Eperjesi, Thomas J., BS Pouch, Alison M., BS Cheung, Albert T., MD Weiss, Stuart J., MD, PhD Acker, Michael A., MD Gorman, Joseph H., MD Gorman, Robert C., MD Jackson, Benjamin M., MD |
description | Background Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive analysis technique to generate high-resolution 3D MV models and examine interoperator and intraoperator repeatability in humans. Methods Patients with normal MVs were imaged using intraoperative transesophageal real-time 3D echocardiography. The annulus and leaflets were manually segmented using a TomTec Echo-View workstation. The resultant annular and leaflet point cloud was used to generate fully quantitative 3D MV models using custom Matlab algorithms. Eight images were subjected to analysis by two independent observers. Two sequential images were acquired for 6 patients and analyzed by the same observer. Each pair of annular tracings was compared with respect to conventional variables and by calculating the mean absolute distance between paired renderings. To compare leaflets, MV models were aligned so as to minimize their sum of squares difference, and their mean absolute difference was measured. Results Mean absolute annular and leaflet distance was 2.4 ± 0.8 and 0.6 ± 0.2 mm for the interobserver and 1.5 ± 0.6 and 0.5 ± 0.2 mm for the intraobserver comparisons, respectively. There was less than 10% variation in annular variables between comparisons. Conclusions These techniques generate high-resolution, quantitative 3D models of the MV and can be used consistently to image the human MV with very small interoperator and intraoperator variability. These data lay the framework for reliable and comprehensive noninvasive modeling of the normal and diseased MV. |
doi_str_mv | 10.1016/j.athoracsur.2010.10.034 |
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Daniel, MBBS ; Eperjesi, Thomas J., BS ; Pouch, Alison M., BS ; Cheung, Albert T., MD ; Weiss, Stuart J., MD, PhD ; Acker, Michael A., MD ; Gorman, Joseph H., MD ; Gorman, Robert C., MD ; Jackson, Benjamin M., MD</creator><creatorcontrib>Jassar, Arminder Singh, MBBS ; Brinster, Clayton J., MD ; Vergnat, Mathieu, MD ; Robb, J. Daniel, MBBS ; Eperjesi, Thomas J., BS ; Pouch, Alison M., BS ; Cheung, Albert T., MD ; Weiss, Stuart J., MD, PhD ; Acker, Michael A., MD ; Gorman, Joseph H., MD ; Gorman, Robert C., MD ; Jackson, Benjamin M., MD</creatorcontrib><description>Background Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive analysis technique to generate high-resolution 3D MV models and examine interoperator and intraoperator repeatability in humans. Methods Patients with normal MVs were imaged using intraoperative transesophageal real-time 3D echocardiography. The annulus and leaflets were manually segmented using a TomTec Echo-View workstation. The resultant annular and leaflet point cloud was used to generate fully quantitative 3D MV models using custom Matlab algorithms. Eight images were subjected to analysis by two independent observers. Two sequential images were acquired for 6 patients and analyzed by the same observer. Each pair of annular tracings was compared with respect to conventional variables and by calculating the mean absolute distance between paired renderings. To compare leaflets, MV models were aligned so as to minimize their sum of squares difference, and their mean absolute difference was measured. Results Mean absolute annular and leaflet distance was 2.4 ± 0.8 and 0.6 ± 0.2 mm for the interobserver and 1.5 ± 0.6 and 0.5 ± 0.2 mm for the intraobserver comparisons, respectively. There was less than 10% variation in annular variables between comparisons. Conclusions These techniques generate high-resolution, quantitative 3D models of the MV and can be used consistently to image the human MV with very small interoperator and intraoperator variability. These data lay the framework for reliable and comprehensive noninvasive modeling of the normal and diseased MV.</description><identifier>ISSN: 0003-4975</identifier><identifier>EISSN: 1552-6259</identifier><identifier>DOI: 10.1016/j.athoracsur.2010.10.034</identifier><identifier>PMID: 21172507</identifier><identifier>CODEN: ATHSAK</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy ; Biological and medical sciences ; Cardiology. Vascular system ; Cardiothoracic Surgery ; Cardiovascular system ; Echocardiography, Three-Dimensional ; Echocardiography, Transesophageal ; Heart Valve Diseases - diagnostic imaging ; Heart Valve Diseases - pathology ; Humans ; Image Processing, Computer-Assisted - methods ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Mitral Valve ; Models, Cardiovascular ; Monitoring, Intraoperative ; Observer Variation ; Pneumology ; Predictive Value of Tests ; Reproducibility of Results ; Surgery ; Ultrasonic investigative techniques</subject><ispartof>The Annals of thoracic surgery, 2011, Vol.91 (1), p.165-171</ispartof><rights>The Society of Thoracic Surgeons</rights><rights>2011 The Society of Thoracic Surgeons</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c563t-4c4f74e2347231d8234408949c4f9f0f2072bfa63b2a6ebbf52ba6cc550ce6b63</citedby><cites>FETCH-LOGICAL-c563t-4c4f74e2347231d8234408949c4f9f0f2072bfa63b2a6ebbf52ba6cc550ce6b63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,4010,27900,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23784207$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21172507$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jassar, Arminder Singh, MBBS</creatorcontrib><creatorcontrib>Brinster, Clayton J., MD</creatorcontrib><creatorcontrib>Vergnat, Mathieu, MD</creatorcontrib><creatorcontrib>Robb, J. Daniel, MBBS</creatorcontrib><creatorcontrib>Eperjesi, Thomas J., BS</creatorcontrib><creatorcontrib>Pouch, Alison M., BS</creatorcontrib><creatorcontrib>Cheung, Albert T., MD</creatorcontrib><creatorcontrib>Weiss, Stuart J., MD, PhD</creatorcontrib><creatorcontrib>Acker, Michael A., MD</creatorcontrib><creatorcontrib>Gorman, Joseph H., MD</creatorcontrib><creatorcontrib>Gorman, Robert C., MD</creatorcontrib><creatorcontrib>Jackson, Benjamin M., MD</creatorcontrib><title>Quantitative Mitral Valve Modeling Using Real-Time Three-Dimensional Echocardiography: Technique and Repeatability</title><title>The Annals of thoracic surgery</title><addtitle>Ann Thorac Surg</addtitle><description>Background Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive analysis technique to generate high-resolution 3D MV models and examine interoperator and intraoperator repeatability in humans. Methods Patients with normal MVs were imaged using intraoperative transesophageal real-time 3D echocardiography. The annulus and leaflets were manually segmented using a TomTec Echo-View workstation. The resultant annular and leaflet point cloud was used to generate fully quantitative 3D MV models using custom Matlab algorithms. Eight images were subjected to analysis by two independent observers. Two sequential images were acquired for 6 patients and analyzed by the same observer. Each pair of annular tracings was compared with respect to conventional variables and by calculating the mean absolute distance between paired renderings. To compare leaflets, MV models were aligned so as to minimize their sum of squares difference, and their mean absolute difference was measured. Results Mean absolute annular and leaflet distance was 2.4 ± 0.8 and 0.6 ± 0.2 mm for the interobserver and 1.5 ± 0.6 and 0.5 ± 0.2 mm for the intraobserver comparisons, respectively. There was less than 10% variation in annular variables between comparisons. Conclusions These techniques generate high-resolution, quantitative 3D models of the MV and can be used consistently to image the human MV with very small interoperator and intraoperator variability. These data lay the framework for reliable and comprehensive noninvasive modeling of the normal and diseased MV.</description><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Cardiology. Vascular system</subject><subject>Cardiothoracic Surgery</subject><subject>Cardiovascular system</subject><subject>Echocardiography, Three-Dimensional</subject><subject>Echocardiography, Transesophageal</subject><subject>Heart Valve Diseases - diagnostic imaging</subject><subject>Heart Valve Diseases - pathology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Mitral Valve</subject><subject>Models, Cardiovascular</subject><subject>Monitoring, Intraoperative</subject><subject>Observer Variation</subject><subject>Pneumology</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>Surgery</subject><subject>Ultrasonic investigative techniques</subject><issn>0003-4975</issn><issn>1552-6259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNUklv1DAUthCIlsJfQLkgThm8xFk4VKKlLFIRAqZcrRfnZeIhYw-2M9L8e5zO0AInLvZbvrd-j5CM0QWjrHy1XkAcnAcdJr_g9Na8oKJ4QE6ZlDwvuWweklNKqciLppIn5EkI66Ty5H5MTjhjFZe0OiX-ywQ2mgjR7DD7ZKKHMfsO46y4DkdjV9lNmN-vCGO-NBvMloNHzN8m0QbjbAq40oPT4DvjVh62w_51tkQ9WPNzwgxsl2K3CBFaM5q4f0oe9TAGfHb8z8jNu6vl5Yf8-vP7j5dvrnMtSxHzQhd9VSAXRcUF6-okFLRuiibZm572nFa87aEULYcS27aXvIVSaympxrItxRk5P-TdTu0GO412Hk5tvdmA3ysHRv3tsWZQK7dTIq2JS54SvDwm8C5NEqLamKBxHMGim4KqUwsNL-smIesDUnsXgsf-rgqjamZMrdU9Y2pmbPYkxlLo8z-7vAv8TVECvDgCIGgYew9Wm3CPE1Vd8FvcxQGHaac7g14FbdBq7IxHHVXnzP90c_5PEp1OwKS6P3CPYe0mn_gOiqnAFVXf5gubD4yl0xJV04hfaBHRdQ</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Jassar, Arminder Singh, MBBS</creator><creator>Brinster, Clayton J., MD</creator><creator>Vergnat, Mathieu, MD</creator><creator>Robb, J. Daniel, MBBS</creator><creator>Eperjesi, Thomas J., BS</creator><creator>Pouch, Alison M., BS</creator><creator>Cheung, Albert T., MD</creator><creator>Weiss, Stuart J., MD, PhD</creator><creator>Acker, Michael A., MD</creator><creator>Gorman, Joseph H., MD</creator><creator>Gorman, Robert C., MD</creator><creator>Jackson, Benjamin M., MD</creator><general>Elsevier Inc</general><general>Elsevier</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>2011</creationdate><title>Quantitative Mitral Valve Modeling Using Real-Time Three-Dimensional Echocardiography: Technique and Repeatability</title><author>Jassar, Arminder Singh, MBBS ; Brinster, Clayton J., MD ; Vergnat, Mathieu, MD ; Robb, J. Daniel, MBBS ; Eperjesi, Thomas J., BS ; Pouch, Alison M., BS ; Cheung, Albert T., MD ; Weiss, Stuart J., MD, PhD ; Acker, Michael A., MD ; Gorman, Joseph H., MD ; Gorman, Robert C., MD ; Jackson, Benjamin M., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-4c4f74e2347231d8234408949c4f9f0f2072bfa63b2a6ebbf52ba6cc550ce6b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</topic><topic>Biological and medical sciences</topic><topic>Cardiology. Vascular system</topic><topic>Cardiothoracic Surgery</topic><topic>Cardiovascular system</topic><topic>Echocardiography, Three-Dimensional</topic><topic>Echocardiography, Transesophageal</topic><topic>Heart Valve Diseases - diagnostic imaging</topic><topic>Heart Valve Diseases - pathology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Medical sciences</topic><topic>Mitral Valve</topic><topic>Models, Cardiovascular</topic><topic>Monitoring, Intraoperative</topic><topic>Observer Variation</topic><topic>Pneumology</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility of Results</topic><topic>Surgery</topic><topic>Ultrasonic investigative techniques</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jassar, Arminder Singh, MBBS</creatorcontrib><creatorcontrib>Brinster, Clayton J., MD</creatorcontrib><creatorcontrib>Vergnat, Mathieu, MD</creatorcontrib><creatorcontrib>Robb, J. Daniel, MBBS</creatorcontrib><creatorcontrib>Eperjesi, Thomas J., BS</creatorcontrib><creatorcontrib>Pouch, Alison M., BS</creatorcontrib><creatorcontrib>Cheung, Albert T., MD</creatorcontrib><creatorcontrib>Weiss, Stuart J., MD, PhD</creatorcontrib><creatorcontrib>Acker, Michael A., MD</creatorcontrib><creatorcontrib>Gorman, Joseph H., MD</creatorcontrib><creatorcontrib>Gorman, Robert C., MD</creatorcontrib><creatorcontrib>Jackson, Benjamin M., MD</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Annals of thoracic surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jassar, Arminder Singh, MBBS</au><au>Brinster, Clayton J., MD</au><au>Vergnat, Mathieu, MD</au><au>Robb, J. Daniel, MBBS</au><au>Eperjesi, Thomas J., BS</au><au>Pouch, Alison M., BS</au><au>Cheung, Albert T., MD</au><au>Weiss, Stuart J., MD, PhD</au><au>Acker, Michael A., MD</au><au>Gorman, Joseph H., MD</au><au>Gorman, Robert C., MD</au><au>Jackson, Benjamin M., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Mitral Valve Modeling Using Real-Time Three-Dimensional Echocardiography: Technique and Repeatability</atitle><jtitle>The Annals of thoracic surgery</jtitle><addtitle>Ann Thorac Surg</addtitle><date>2011</date><risdate>2011</risdate><volume>91</volume><issue>1</issue><spage>165</spage><epage>171</epage><pages>165-171</pages><issn>0003-4975</issn><eissn>1552-6259</eissn><coden>ATHSAK</coden><abstract>Background Real-time three-dimensional (3D) echocardiography has the ability to construct quantitative models of the mitral valve (MV). Imaging and modeling algorithms rely on operator interpretation of raw images and may be subject to observer-dependent variability. We describe a comprehensive analysis technique to generate high-resolution 3D MV models and examine interoperator and intraoperator repeatability in humans. Methods Patients with normal MVs were imaged using intraoperative transesophageal real-time 3D echocardiography. The annulus and leaflets were manually segmented using a TomTec Echo-View workstation. The resultant annular and leaflet point cloud was used to generate fully quantitative 3D MV models using custom Matlab algorithms. Eight images were subjected to analysis by two independent observers. Two sequential images were acquired for 6 patients and analyzed by the same observer. Each pair of annular tracings was compared with respect to conventional variables and by calculating the mean absolute distance between paired renderings. To compare leaflets, MV models were aligned so as to minimize their sum of squares difference, and their mean absolute difference was measured. Results Mean absolute annular and leaflet distance was 2.4 ± 0.8 and 0.6 ± 0.2 mm for the interobserver and 1.5 ± 0.6 and 0.5 ± 0.2 mm for the intraobserver comparisons, respectively. There was less than 10% variation in annular variables between comparisons. Conclusions These techniques generate high-resolution, quantitative 3D models of the MV and can be used consistently to image the human MV with very small interoperator and intraoperator variability. These data lay the framework for reliable and comprehensive noninvasive modeling of the normal and diseased MV.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>21172507</pmid><doi>10.1016/j.athoracsur.2010.10.034</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy Biological and medical sciences Cardiology. Vascular system Cardiothoracic Surgery Cardiovascular system Echocardiography, Three-Dimensional Echocardiography, Transesophageal Heart Valve Diseases - diagnostic imaging Heart Valve Diseases - pathology Humans Image Processing, Computer-Assisted - methods Investigative techniques, diagnostic techniques (general aspects) Medical sciences Mitral Valve Models, Cardiovascular Monitoring, Intraoperative Observer Variation Pneumology Predictive Value of Tests Reproducibility of Results Surgery Ultrasonic investigative techniques |
title | Quantitative Mitral Valve Modeling Using Real-Time Three-Dimensional Echocardiography: Technique and Repeatability |
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