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Image fusion or 4D cardiac CTA and MR images
Various imaging techniques can be used to evaluate coronary artery disease and cardiac function. However, no single imaging modality provides extensive information on both. The goal of this research is to develop a method for combining the coronary vasculature obtained from computed tomographic angi...
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creator | Sturm, B. Powell, K.A. Halliburton, S.S. White, R.D. |
description | Various imaging techniques can be used to evaluate coronary artery disease and cardiac function. However, no single imaging modality provides extensive information on both. The goal of this research is to develop a method for combining the coronary vasculature obtained from computed tomographic angiography (CTA) data with the myocardial functional information obtained from dynamic magnetic resonance (MR) data. Temporally matched cardiac CTA and trueFISP (true Fast Imaging with Steady-state Precession) MR images were obtained on human subjects. Each CTA volume was resampled according to the MR sampling scheme and spatially registered with the MR volume using an iterative closest point algorithm and the epicardial boundary points. The segmented coronary vasculature from CTA was surface rendered along with the original MR image planes. An expert in cardiac imaging visually verified the results of the 4D fusion. Future use of this technique will be investigated using additional data sets and types of functional MR images, i.e. perfusion and SPAMM (SPAtial Modulation of Magnetization). |
doi_str_mv | 10.1109/AIPR.2001.991198 |
format | conference_proceeding |
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However, no single imaging modality provides extensive information on both. The goal of this research is to develop a method for combining the coronary vasculature obtained from computed tomographic angiography (CTA) data with the myocardial functional information obtained from dynamic magnetic resonance (MR) data. Temporally matched cardiac CTA and trueFISP (true Fast Imaging with Steady-state Precession) MR images were obtained on human subjects. Each CTA volume was resampled according to the MR sampling scheme and spatially registered with the MR volume using an iterative closest point algorithm and the epicardial boundary points. The segmented coronary vasculature from CTA was surface rendered along with the original MR image planes. An expert in cardiac imaging visually verified the results of the 4D fusion. Future use of this technique will be investigated using additional data sets and types of functional MR images, i.e. perfusion and SPAMM (SPAtial Modulation of Magnetization).</description><identifier>ISBN: 0769512453</identifier><identifier>ISBN: 9780769512457</identifier><identifier>DOI: 10.1109/AIPR.2001.991198</identifier><language>eng</language><publisher>IEEE</publisher><subject>Angiography ; Coronary arteriosclerosis ; Humans ; Image fusion ; Image sampling ; Magnetic resonance ; Magnetic resonance imaging ; Myocardium ; Steady-state ; Tomography</subject><ispartof>Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). 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Analysis and Understanding of Time Varying Imagery</title><addtitle>AIPR</addtitle><description>Various imaging techniques can be used to evaluate coronary artery disease and cardiac function. However, no single imaging modality provides extensive information on both. The goal of this research is to develop a method for combining the coronary vasculature obtained from computed tomographic angiography (CTA) data with the myocardial functional information obtained from dynamic magnetic resonance (MR) data. Temporally matched cardiac CTA and trueFISP (true Fast Imaging with Steady-state Precession) MR images were obtained on human subjects. Each CTA volume was resampled according to the MR sampling scheme and spatially registered with the MR volume using an iterative closest point algorithm and the epicardial boundary points. The segmented coronary vasculature from CTA was surface rendered along with the original MR image planes. An expert in cardiac imaging visually verified the results of the 4D fusion. Future use of this technique will be investigated using additional data sets and types of functional MR images, i.e. perfusion and SPAMM (SPAtial Modulation of Magnetization).</description><subject>Angiography</subject><subject>Coronary arteriosclerosis</subject><subject>Humans</subject><subject>Image fusion</subject><subject>Image sampling</subject><subject>Magnetic resonance</subject><subject>Magnetic resonance imaging</subject><subject>Myocardium</subject><subject>Steady-state</subject><subject>Tomography</subject><isbn>0769512453</isbn><isbn>9780769512457</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj01LAzEURQNFUGv34io_wJm-l-TlYzmM2g5UlDL7kmaSEtFWJrrw3ztS7-ZuDudyGbtFqBHBLZvudVsLAKydQ3R2xq7BaEcoFMlLtijlDaYQGWfEFbvvPvwh8vRd8unITyNXDzz4ccg-8LZvuD8O_HnL8x9VbthF8u8lLv57zvqnx75dV5uXVdc2mypb81VZTOBsJJmcUNZQSCS80DaRtgH22johUXolvNJ7AvLB6AEm0gAKnYKcs7uzNscYd5_jND7-7M535C9wVzxy</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Sturm, B.</creator><creator>Powell, K.A.</creator><creator>Halliburton, S.S.</creator><creator>White, R.D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2001</creationdate><title>Image fusion or 4D cardiac CTA and MR images</title><author>Sturm, B. ; Powell, K.A. ; Halliburton, S.S. ; White, R.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-81f098e53f924875cf52a268f568c0b6892313a42a46b505ac76d048770126fc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Angiography</topic><topic>Coronary arteriosclerosis</topic><topic>Humans</topic><topic>Image fusion</topic><topic>Image sampling</topic><topic>Magnetic resonance</topic><topic>Magnetic resonance imaging</topic><topic>Myocardium</topic><topic>Steady-state</topic><topic>Tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Sturm, B.</creatorcontrib><creatorcontrib>Powell, K.A.</creatorcontrib><creatorcontrib>Halliburton, S.S.</creatorcontrib><creatorcontrib>White, R.D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sturm, B.</au><au>Powell, K.A.</au><au>Halliburton, S.S.</au><au>White, R.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image fusion or 4D cardiac CTA and MR images</atitle><btitle>Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery</btitle><stitle>AIPR</stitle><date>2001</date><risdate>2001</risdate><spage>21</spage><epage>24</epage><pages>21-24</pages><isbn>0769512453</isbn><isbn>9780769512457</isbn><abstract>Various imaging techniques can be used to evaluate coronary artery disease and cardiac function. However, no single imaging modality provides extensive information on both. The goal of this research is to develop a method for combining the coronary vasculature obtained from computed tomographic angiography (CTA) data with the myocardial functional information obtained from dynamic magnetic resonance (MR) data. Temporally matched cardiac CTA and trueFISP (true Fast Imaging with Steady-state Precession) MR images were obtained on human subjects. Each CTA volume was resampled according to the MR sampling scheme and spatially registered with the MR volume using an iterative closest point algorithm and the epicardial boundary points. The segmented coronary vasculature from CTA was surface rendered along with the original MR image planes. An expert in cardiac imaging visually verified the results of the 4D fusion. Future use of this technique will be investigated using additional data sets and types of functional MR images, i.e. perfusion and SPAMM (SPAtial Modulation of Magnetization).</abstract><pub>IEEE</pub><doi>10.1109/AIPR.2001.991198</doi><tpages>4</tpages></addata></record> |
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identifier | ISBN: 0769512453 |
ispartof | Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery, 2001, p.21-24 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Angiography Coronary arteriosclerosis Humans Image fusion Image sampling Magnetic resonance Magnetic resonance imaging Myocardium Steady-state Tomography |
title | Image fusion or 4D cardiac CTA and MR images |
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