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<meta name="DC.Title" content="Bone-Subtraction CT Angiography: Evaluation of Two Different Fully Automated Image-Registration Procedures for Interscan Motion Compensation" />
<meta name="DC.Identifier" content="10.3174/ajnr.A0558" />
<meta name="DC.Date" content="2007-08-01" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Bone-subtraction techniques have been shown to enhance CT angiography (CTA) interpretation, but motion can lead to incomplete bone removal. The aim of this study was to evaluate 2 novel registration techniques to compensate for patient motion.

MATERIALS AND METHODS: Fifty-four patients underwent bone-subtraction CTA (BSCTA) for the evaluation of the neck vessels with 64-section CT. We tested 3 different registration procedures: pure rigid registration (BSCTA), slab-based registration (SB-BSCTA), and a partially rigid registration (PR-BSCTA) approach. Subtraction quality for the assessment of different vascular segments was evaluated by 2 examiners in a blinded fashion. The Cohen kappa test was applied for interobserver variability, and the Wilcoxon signed rank test, for differences between the procedures. Motion between the corresponding datasets was measured and plotted against image-quality scores.

RESULTS: Algorithms with motion compensation revealed higher image-quality scores (SB-BSCTA, mean 4.31; PR-BSCTA, mean 4.43) than pure rigid registration (BSCTA, mean 3.88). PR-BSCTA was rated superior to SB-BSCTA for the evaluation of the cervical internal and external carotid arteries ( P &lt; .001), whereas there was no significant difference for the other vessels ( P = .157–.655). Both algorithms were clearly superior to pure rigid registration for all vessels except the basilar and ophthalmic artery. Interobserver agreement was high (κ = 0.46–0.98).

CONCLUSION: Bone-subtraction algorithms with motion compensation provided higher image-quality scores than pure rigid registration methods, especially in cases with complex motion. PR-BSCTA was rated superior to SB-BSCTA in the visualization of the internal and external carotid arteries." />
<meta name="DC.Contributor" content="M.M. Lell" />
<meta name="DC.Contributor" content="H. Ditt" />
<meta name="DC.Contributor" content="C. Panknin" />
<meta name="DC.Contributor" content="J.W. Sayre" />
<meta name="DC.Contributor" content="S.G. Ruehm" />
<meta name="DC.Contributor" content="E. Klotz" />
<meta name="DC.Contributor" content="B.F. Tomandl" />
<meta name="DC.Contributor" content="J.P. Villablanca" />
<meta name="article:published_time" content="2007-08-01" />
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<meta name="citation_title" content="Bone-Subtraction CT Angiography: Evaluation of Two Different Fully Automated Image-Registration Procedures for Interscan Motion Compensation" />
<meta name="citation_abstract" lang="en" content="&lt;p&gt;&lt;b&gt;BACKGROUND AND PURPOSE:&lt;/b&gt; Bone-subtraction techniques have been shown to enhance CT angiography (CTA) interpretation, but motion can lead to incomplete bone removal. The aim of this study was to evaluate 2 novel registration techniques to compensate for patient motion.&lt;/p&gt;&lt;p&gt;&lt;b&gt;MATERIALS AND METHODS:&lt;/b&gt; Fifty-four patients underwent bone-subtraction CTA (BSCTA) for the evaluation of the neck vessels with 64-section CT. We tested 3 different registration procedures: pure rigid registration (BSCTA), slab-based registration (SB-BSCTA), and a partially rigid registration (PR-BSCTA) approach. Subtraction quality for the assessment of different vascular segments was evaluated by 2 examiners in a blinded fashion. The Cohen kappa test was applied for interobserver variability, and the Wilcoxon signed rank test, for differences between the procedures. Motion between the corresponding datasets was measured and plotted against image-quality scores.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS:&lt;/b&gt; Algorithms with motion compensation revealed higher image-quality scores (SB-BSCTA, mean 4.31; PR-BSCTA, mean 4.43) than pure rigid registration (BSCTA, mean 3.88). PR-BSCTA was rated superior to SB-BSCTA for the evaluation of the cervical internal and external carotid arteries (&lt;i&gt;P&lt;/i&gt; &amp;lt; .001), whereas there was no significant difference for the other vessels (&lt;i&gt;P&lt;/i&gt; = .157–.655). Both algorithms were clearly superior to pure rigid registration for all vessels except the basilar and ophthalmic artery. Interobserver agreement was high (κ = 0.46–0.98).&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSION:&lt;/b&gt; Bone-subtraction algorithms with motion compensation provided higher image-quality scores than pure rigid registration methods, especially in cases with complex motion. PR-BSCTA was rated superior to SB-BSCTA in the visualization of the internal and external carotid arteries.&lt;/p&gt;" />
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<meta name="twitter:title" content="Bone-Subtraction CT Angiography: Evaluation of Two Different Fully Automated Image-Registration Procedures for Interscan Motion Compensation" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Bone-subtraction techniques have been shown to enhance CT angiography (CTA) interpretation, but motion can lead to incomplete bone removal. The aim of this study was to evaluate 2 novel registration techniques to compensate for patient motion.

MATERIALS AND METHODS: Fifty-four patients underwent bone-subtraction CTA (BSCTA) for the evaluation of the neck vessels with 64-section CT. We tested 3 different registration procedures: pure rigid registration (BSCTA), slab-based registration (SB-BSCTA), and a partially rigid registration (PR-BSCTA) approach. Subtraction quality for the assessment of different vascular segments was evaluated by 2 examiners in a blinded fashion. The Cohen kappa test was applied for interobserver variability, and the Wilcoxon signed rank test, for differences between the procedures. Motion between the corresponding datasets was measured and plotted against image-quality scores.

RESULTS: Algorithms with motion compensation revealed higher image-quality scores (SB-BSCTA, mean 4.31; PR-BSCTA, mean 4.43) than pure rigid registration (BSCTA, mean 3.88). PR-BSCTA was rated superior to SB-BSCTA for the evaluation of the cervical internal and external carotid arteries ( P &lt; .001), whereas there was no significant difference for the other vessels ( P = .157–.655). Both algorithms were clearly superior to pure rigid registration for all vessels except the basilar and ophthalmic artery. Interobserver agreement was high (κ = 0.46–0.98).

CONCLUSION: Bone-subtraction algorithms with motion compensation provided higher image-quality scores than pure rigid registration methods, especially in cases with complex motion. PR-BSCTA was rated superior to SB-BSCTA in the visualization of the internal and external carotid arteries." />
<meta name="og-title" property="og:title" content="Bone-Subtraction CT Angiography: Evaluation of Two Different Fully Automated Image-Registration Procedures for Interscan Motion Compensation" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/28/7/1362" />
<meta name="og-site-name" property="og:site_name" content="American Journal of Neuroradiology" />
<meta name="og-description" property="og:description" content="BACKGROUND AND PURPOSE: Bone-subtraction techniques have been shown to enhance CT angiography (CTA) interpretation, but motion can lead to incomplete bone removal. The aim of this study was to evaluate 2 novel registration techniques to compensate for patient motion.

MATERIALS AND METHODS: Fifty-four patients underwent bone-subtraction CTA (BSCTA) for the evaluation of the neck vessels with 64-section CT. We tested 3 different registration procedures: pure rigid registration (BSCTA), slab-based registration (SB-BSCTA), and a partially rigid registration (PR-BSCTA) approach. Subtraction quality for the assessment of different vascular segments was evaluated by 2 examiners in a blinded fashion. The Cohen kappa test was applied for interobserver variability, and the Wilcoxon signed rank test, for differences between the procedures. Motion between the corresponding datasets was measured and plotted against image-quality scores.

RESULTS: Algorithms with motion compensation revealed higher image-quality scores (SB-BSCTA, mean 4.31; PR-BSCTA, mean 4.43) than pure rigid registration (BSCTA, mean 3.88). PR-BSCTA was rated superior to SB-BSCTA for the evaluation of the cervical internal and external carotid arteries ( P &lt; .001), whereas there was no significant difference for the other vessels ( P = .157–.655). Both algorithms were clearly superior to pure rigid registration for all vessels except the basilar and ophthalmic artery. Interobserver agreement was high (κ = 0.46–0.98).

CONCLUSION: Bone-subtraction algorithms with motion compensation provided higher image-quality scores than pure rigid registration methods, especially in cases with complex motion. PR-BSCTA was rated superior to SB-BSCTA in the visualization of the internal and external carotid arteries." />
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    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">M.M. Lell</span>, <span class="highwire-citation-author" data-delta="1">H. Ditt</span>, <span class="highwire-citation-author" data-delta="2">C. Panknin</span>, <span class="highwire-citation-author" data-delta="3">J.W. Sayre</span>, <span class="highwire-citation-author" data-delta="4">S.G. Ruehm</span>, <span class="highwire-citation-author" data-delta="5">E. Klotz</span>, <span class="highwire-citation-author" data-delta="6">B.F. Tomandl</span> and <span class="highwire-citation-author" data-delta="7">J.P. Villablanca</span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">August 2007,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(7) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1362-1368; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A0558 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-7453--61796184971" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">M.M. Lell </div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=M.M.%2BLell%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Lell%20M&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AM.M.%2BLell%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">H. 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        	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">Vol. 28</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 7 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">August 2007 </div></div>
      
      
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      <div class="highwire-cite-title">Bone-Subtraction CT Angiography: Evaluation of Two Different Fully Automated Image-Registration Procedures for Interscan Motion Compensation</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">M.M.</span> <span class="nlm-surname">Lell</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Ditt</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">C.</span> <span class="nlm-surname">Panknin</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">J.W.</span> <span class="nlm-surname">Sayre</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">S.G.</span> <span class="nlm-surname">Ruehm</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Klotz</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">B.F.</span> <span class="nlm-surname">Tomandl</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">J.P.</span> <span class="nlm-surname">Villablanca</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Aug 2007, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(7) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1362-1368; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A0558 </span></div>
  
  
  
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      <div class="highwire-cite-title">Bone-Subtraction CT Angiography: Evaluation of Two Different Fully Automated Image-Registration Procedures for Interscan Motion Compensation</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">M.M.</span> <span class="nlm-surname">Lell</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Ditt</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">C.</span> <span class="nlm-surname">Panknin</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">J.W.</span> <span class="nlm-surname">Sayre</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">S.G.</span> <span class="nlm-surname">Ruehm</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Klotz</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">B.F.</span> <span class="nlm-surname">Tomandl</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">J.P.</span> <span class="nlm-surname">Villablanca</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Aug 2007, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(7) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1362-1368; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A0558 </span></div>
  
  
  
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