Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography
Quantitative analysis of left ventricular deformation can provide valuable information about the extent of disease as well as the efficacy of treatment. In this work, we develop an adaptive multi-level compactly supported radial basis approach for deformation analysis in 3D+time echocardiography. Ou...
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| Veröffentlicht in: | IEEE transactions on medical imaging 2014-06, Vol.33 (6), p.1275-1289 |
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| creator | Compas, Colin B. Wong, Emily Y. Xiaojie Huang Sampath, Smita Lin, Ben A. Pal, Prasanta Papademetris, Xenophon Thiele, Karl Dione, Donald P. Stacy, Mitchel Staib, Lawrence H. Sinusas, Albert J. O'Donnell, Matthew Duncan, James S. |
| description | Quantitative analysis of left ventricular deformation can provide valuable information about the extent of disease as well as the efficacy of treatment. In this work, we develop an adaptive multi-level compactly supported radial basis approach for deformation analysis in 3D+time echocardiography. Our method combines displacement information from shape tracking of myocardial boundaries (derived from B-mode data) with mid-wall displacements from radio-frequency-based ultrasound speckle tracking. We evaluate our methods on open-chest canines (N=8) and show that our combined approach is better correlated to magnetic resonance tagging-derived strains than either individual method. We also are able to identify regions of myocardial infarction (confirmed by postmortem analysis) using radial strain values obtained with our approach. |
| doi_str_mv | 10.1109/TMI.2014.2308894 |
| format | Article |
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In this work, we develop an adaptive multi-level compactly supported radial basis approach for deformation analysis in 3D+time echocardiography. Our method combines displacement information from shape tracking of myocardial boundaries (derived from B-mode data) with mid-wall displacements from radio-frequency-based ultrasound speckle tracking. We evaluate our methods on open-chest canines (N=8) and show that our combined approach is better correlated to magnetic resonance tagging-derived strains than either individual method. We also are able to identify regions of myocardial infarction (confirmed by postmortem analysis) using radial strain values obtained with our approach.</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/TMI.2014.2308894</identifier><identifier>PMID: 24893257</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Algorithms ; Animals ; Biomedical image processing ; Computed tomography ; Correlation ; Dogs ; echocardiography ; Echocardiography, Four-Dimensional - methods ; image motion analysis ; Image Processing, Computer-Assisted - methods ; Male ; Movement ; Myocardial Infarction ; Myocardium ; Myocardium - pathology ; Shape ; Speckle ; Strain ; Tracking</subject><ispartof>IEEE transactions on medical imaging, 2014-06, Vol.33 (6), p.1275-1289</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In this work, we develop an adaptive multi-level compactly supported radial basis approach for deformation analysis in 3D+time echocardiography. Our method combines displacement information from shape tracking of myocardial boundaries (derived from B-mode data) with mid-wall displacements from radio-frequency-based ultrasound speckle tracking. We evaluate our methods on open-chest canines (N=8) and show that our combined approach is better correlated to magnetic resonance tagging-derived strains than either individual method. We also are able to identify regions of myocardial infarction (confirmed by postmortem analysis) using radial strain values obtained with our approach.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Biomedical image processing</subject><subject>Computed tomography</subject><subject>Correlation</subject><subject>Dogs</subject><subject>echocardiography</subject><subject>Echocardiography, Four-Dimensional - methods</subject><subject>image motion analysis</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Male</subject><subject>Movement</subject><subject>Myocardial Infarction</subject><subject>Myocardium</subject><subject>Myocardium - pathology</subject><subject>Shape</subject><subject>Speckle</subject><subject>Strain</subject><subject>Tracking</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNpdkc9rFDEYhoNY7Fq9C4IEvHiZ7Tf5MZNcBF1bLVQEu4q3kMkku2lnkzHZEfrfm2XXpfaUw_t875ePB6FXNczrGuT58uvVnEDN5oSCEJI9QbOac1ERzn49RTMgragAGnKKnud8C4XkIJ-hU8KEpIS3M_Tzu-69HvBHnX3Gl1MwWx9Dxi4mvIibzgcfVvhmrUeLdejxzWjN3WDxMmlzt4t8wOwTvjDraHTqfVwlPa7vX6ATp4dsXx7eM_Tj8mK5-FJdf_t8tfhwXRnG2LZqnek75nhPDYBhurZEOGlED7zrWds52lshu7qhmhHrBBgpKZMEHIe2ZY6eoff73nHqNrY3NmyTHtSY_EanexW1V_8nwa_VKv5RjAjKOSkF7w4FKf6ebN6qjc_GDoMONk5Z1ZwSWTZKVtC3j9DbOKVQzisUawCYaJpCwZ4yKeacrDt-pga1k6aKNLWTpg7Sysibh0ccB_5ZKsDrPeCttce4aTmA4PQv_FybUQ</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>Compas, Colin B.</creator><creator>Wong, Emily Y.</creator><creator>Xiaojie Huang</creator><creator>Sampath, Smita</creator><creator>Lin, Ben A.</creator><creator>Pal, Prasanta</creator><creator>Papademetris, Xenophon</creator><creator>Thiele, Karl</creator><creator>Dione, Donald P.</creator><creator>Stacy, Mitchel</creator><creator>Staib, Lawrence H.</creator><creator>Sinusas, Albert J.</creator><creator>O'Donnell, Matthew</creator><creator>Duncan, James S.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In this work, we develop an adaptive multi-level compactly supported radial basis approach for deformation analysis in 3D+time echocardiography. Our method combines displacement information from shape tracking of myocardial boundaries (derived from B-mode data) with mid-wall displacements from radio-frequency-based ultrasound speckle tracking. We evaluate our methods on open-chest canines (N=8) and show that our combined approach is better correlated to magnetic resonance tagging-derived strains than either individual method. We also are able to identify regions of myocardial infarction (confirmed by postmortem analysis) using radial strain values obtained with our approach.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>24893257</pmid><doi>10.1109/TMI.2014.2308894</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Animals Biomedical image processing Computed tomography Correlation Dogs echocardiography Echocardiography, Four-Dimensional - methods image motion analysis Image Processing, Computer-Assisted - methods Male Movement Myocardial Infarction Myocardium Myocardium - pathology Shape Speckle Strain Tracking |
| title | Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography |
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