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<meta name="DC.Title" content="Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study" />
<meta name="DC.Identifier" content="10.3174/ajnr.A2306" />
<meta name="DC.Date" content="2011-03-01" />
<meta name="DC.Publisher" content="American Journal of Neuroradiology" />
<meta name="DC.Rights" content="Copyright © American Society of Neuroradiology. 
Indicates open access to non-subscribers at www.ajnr.org" />
<meta name="DC.AccessRights" content="open-access" />
<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Patient-specific simulations of the hemodynamics in intracranial aneurysms can be constructed by using image-based vascular models and CFD techniques. This work evaluates the impact of the choice of imaging technique on these simulations.

MATERIALS AND METHODS: Ten aneurysms, imaged with 3DRA and CTA, were analyzed to assess the reproducibility of geometric and hemodynamic variables across the 2 modalities.

RESULTS: Compared with 3DRA models, we found that CTA models often had larger aneurysm necks ( P = .05) and that most of the smallest vessels (between 0.7 and 1.0 mm in diameter) could not be reconstructed successfully with CTA. With respect to the values measured in the 3DRA models, the flow rate differed by 14.1 ± 2.8% (mean ± SE) just proximal to the aneurysm and 33.9 ± 7.6% at the aneurysm neck. The mean WSS on the aneurysm differed by 44.2 ± 6.0%. Even when normalized to the parent vessel WSS, a difference of 31.4 ± 9.9% remained, with the normalized WSS in most cases being larger in the CTA model ( P = .04). Despite these substantial differences, excellent agreement (κ ≥ 0.9) was found for qualitative variables that describe the flow field, such as the structure of the flow pattern and the flow complexity.

CONCLUSIONS: Although relatively large differences were found for all evaluated quantitative hemodynamic variables, the main flow characteristics were reproduced across imaging modalities.

3DRA
:   3D rotational angiography
ACA
:   anterior cerebral artery
AN
:   aneurysm neck area
BA
:   basilar artery
CFD
:   computational fluid dynamics
CTA
:   CT angiography
Δ
:   relative difference between the 3DRA and CTA models with respect to the 3DRA model
ICA
:   internal carotid artery
LWSSA
:   the portion of aneurysm wall under low WSS (&lt;0.4 Pa) at end diastole
M
:   number of cases for which the value in the CTA model was lower than in the 3DRA model
MCA
:   middle cerebral artery
MCA M1
:   MCA M1 segment
MCA M1-M2
:   MCA M1-M2 bifurcation
MWSSA
:   maximum WSS on the aneurysm wall at peak systole
NQA
:   QA/QP
NWSSA
:   WSSA/WSSP
N90WSSA
:   90WSSA normalized by the mean WSS on the aneurysm at peak systole
OSI
:   oscillatory shear index
QA
:   flow rate into the aneurysm
QP
:   flow rate in the parent vessel just proximal to the aneurysm
SE
:   standard error
VA
:   vertebral artery
VA
:   aneurysm volume
90WSSA
:   90th percentile value of the WSS on the aneurysm at peak systole
WSS
:   wall shear stress
WSSA
:   mean WSS on the aneurysm wall
WSSP
:   mean WSS on a segment of the parent vessel just proximal to the aneurysm" />
<meta name="DC.Contributor" content="A.J. Geers" />
<meta name="DC.Contributor" content="I. Larrabide" />
<meta name="DC.Contributor" content="A.G. Radaelli" />
<meta name="DC.Contributor" content="H. Bogunovic" />
<meta name="DC.Contributor" content="M. Kim" />
<meta name="DC.Contributor" content="H.A.F. Gratama van Andel" />
<meta name="DC.Contributor" content="C.B. Majoie" />
<meta name="DC.Contributor" content="E. VanBavel" />
<meta name="DC.Contributor" content="A.F. Frangi" />
<meta name="article:published_time" content="2011-03-01" />
<meta name="article:section" content="Interventional" />
<meta name="citation_title" content="Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;Patient-specific simulations of the hemodynamics in intracranial aneurysms can be constructed by using image-based vascular models and CFD techniques. This work evaluates the impact of the choice of imaging technique on these simulations.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;Ten aneurysms, imaged with 3DRA and CTA, were analyzed to assess the reproducibility of geometric and hemodynamic variables across the 2 modalities.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;Compared with 3DRA models, we found that CTA models often had larger aneurysm necks (&lt;i&gt;P&lt;/i&gt; = .05) and that most of the smallest vessels (between 0.7 and 1.0 mm in diameter) could not be reconstructed successfully with CTA. With respect to the values measured in the 3DRA models, the flow rate differed by 14.1 ± 2.8% (mean ± SE) just proximal to the aneurysm and 33.9 ± 7.6% at the aneurysm neck. The mean WSS on the aneurysm differed by 44.2 ± 6.0%. Even when normalized to the parent vessel WSS, a difference of 31.4 ± 9.9% remained, with the normalized WSS in most cases being larger in the CTA model (&lt;i&gt;P&lt;/i&gt; = .04). Despite these substantial differences, excellent agreement (κ ≥ 0.9) was found for qualitative variables that describe the flow field, such as the structure of the flow pattern and the flow complexity.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;Although relatively large differences were found for all evaluated quantitative hemodynamic variables, the main flow characteristics were reproduced across imaging modalities.&lt;/p&gt;" />
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<meta name="twitter:title" content="Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Patient-specific simulations of the hemodynamics in intracranial aneurysms can be constructed by using image-based vascular models and CFD techniques. This work evaluates the impact of the choice of imaging technique on these simulations.

MATERIALS AND METHODS: Ten aneurysms, imaged with 3DRA and CTA, were analyzed to assess the reproducibility of geometric and hemodynamic variables across the 2 modalities.

RESULTS: Compared with 3DRA models, we found that CTA models often had larger aneurysm necks ( P = .05) and that most of the smallest vessels (between 0.7 and 1.0 mm in diameter) could not be reconstructed successfully with CTA. With respect to the values measured in the 3DRA models, the flow rate differed by 14.1 ± 2.8% (mean ± SE) just proximal to the aneurysm and 33.9 ± 7.6% at the aneurysm neck. The mean WSS on the aneurysm differed by 44.2 ± 6.0%. Even when normalized to the parent vessel WSS, a difference of 31.4 ± 9.9% remained, with the normalized WSS in most cases being larger in the CTA model ( P = .04). Despite these substantial differences, excellent agreement (κ ≥ 0.9) was found for qualitative variables that describe the flow field, such as the structure of the flow pattern and the flow complexity.

CONCLUSIONS: Although relatively large differences were found for all evaluated quantitative hemodynamic variables, the main flow characteristics were reproduced across imaging modalities.

3DRA
:   3D rotational angiography
ACA
:   anterior cerebral artery
AN
:   aneurysm neck area
BA
:   basilar artery
CFD
:   computational fluid dynamics
CTA
:   CT angiography
Δ
:   relative difference between the 3DRA and CTA models with respect to the 3DRA model
ICA
:   internal carotid artery
LWSSA
:   the portion of aneurysm wall under low WSS (&lt;0.4 Pa) at end diastole
M
:   number of cases for which the value in the CTA model was lower than in the 3DRA model
MCA
:   middle cerebral artery
MCA M1
:   MCA M1 segment
MCA M1-M2
:   MCA M1-M2 bifurcation
MWSSA
:   maximum WSS on the aneurysm wall at peak systole
NQA
:   QA/QP
NWSSA
:   WSSA/WSSP
N90WSSA
:   90WSSA normalized by the mean WSS on the aneurysm at peak systole
OSI
:   oscillatory shear index
QA
:   flow rate into the aneurysm
QP
:   flow rate in the parent vessel just proximal to the aneurysm
SE
:   standard error
VA
:   vertebral artery
VA
:   aneurysm volume
90WSSA
:   90th percentile value of the WSS on the aneurysm at peak systole
WSS
:   wall shear stress
WSSA
:   mean WSS on the aneurysm wall
WSSP
:   mean WSS on a segment of the parent vessel just proximal to the aneurysm" />
<meta name="og-title" property="og:title" content="Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/32/3/581" />
<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: Patient-specific simulations of the hemodynamics in intracranial aneurysms can be constructed by using image-based vascular models and CFD techniques. This work evaluates the impact of the choice of imaging technique on these simulations.

MATERIALS AND METHODS: Ten aneurysms, imaged with 3DRA and CTA, were analyzed to assess the reproducibility of geometric and hemodynamic variables across the 2 modalities.

RESULTS: Compared with 3DRA models, we found that CTA models often had larger aneurysm necks ( P = .05) and that most of the smallest vessels (between 0.7 and 1.0 mm in diameter) could not be reconstructed successfully with CTA. With respect to the values measured in the 3DRA models, the flow rate differed by 14.1 ± 2.8% (mean ± SE) just proximal to the aneurysm and 33.9 ± 7.6% at the aneurysm neck. The mean WSS on the aneurysm differed by 44.2 ± 6.0%. Even when normalized to the parent vessel WSS, a difference of 31.4 ± 9.9% remained, with the normalized WSS in most cases being larger in the CTA model ( P = .04). Despite these substantial differences, excellent agreement (κ ≥ 0.9) was found for qualitative variables that describe the flow field, such as the structure of the flow pattern and the flow complexity.

CONCLUSIONS: Although relatively large differences were found for all evaluated quantitative hemodynamic variables, the main flow characteristics were reproduced across imaging modalities.

3DRA
:   3D rotational angiography
ACA
:   anterior cerebral artery
AN
:   aneurysm neck area
BA
:   basilar artery
CFD
:   computational fluid dynamics
CTA
:   CT angiography
Δ
:   relative difference between the 3DRA and CTA models with respect to the 3DRA model
ICA
:   internal carotid artery
LWSSA
:   the portion of aneurysm wall under low WSS (&lt;0.4 Pa) at end diastole
M
:   number of cases for which the value in the CTA model was lower than in the 3DRA model
MCA
:   middle cerebral artery
MCA M1
:   MCA M1 segment
MCA M1-M2
:   MCA M1-M2 bifurcation
MWSSA
:   maximum WSS on the aneurysm wall at peak systole
NQA
:   QA/QP
NWSSA
:   WSSA/WSSP
N90WSSA
:   90WSSA normalized by the mean WSS on the aneurysm at peak systole
OSI
:   oscillatory shear index
QA
:   flow rate into the aneurysm
QP
:   flow rate in the parent vessel just proximal to the aneurysm
SE
:   standard error
VA
:   vertebral artery
VA
:   aneurysm volume
90WSSA
:   90th percentile value of the WSS on the aneurysm at peak systole
WSS
:   wall shear stress
WSSA
:   mean WSS on the aneurysm wall
WSSP
:   mean WSS on a segment of the parent vessel just proximal to the aneurysm" />
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    <title>Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study | American Journal of Neuroradiology</title>  
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      <h1 class="highwire-cite-title" id="page-title">Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">A.J. Geers</span>, <span class="highwire-citation-author" data-delta="1">I. Larrabide</span>, <span class="highwire-citation-author" data-delta="2">A.G. Radaelli</span>, <span class="highwire-citation-author" data-delta="3">H. Bogunovic</span>, <span class="highwire-citation-author" data-delta="4">M. Kim</span>, <span class="highwire-citation-author" data-delta="5">H.A.F. Gratama van Andel</span>, <span class="highwire-citation-author" data-delta="6">C.B. Majoie</span>, <span class="highwire-citation-author" data-delta="7">E. VanBavel</span> and <span class="highwire-citation-author" data-delta="8">A.F. Frangi</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">March 2011,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(3) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">581-586; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A2306 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-9405--61472861394" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">A.J. Geers </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=A.J.%2BGeers%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=Geers%20A&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%3AA.J.%2BGeers%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">I. 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<p id="p-2"><strong>BACKGROUND AND PURPOSE:</strong> Patient-specific simulations of the hemodynamics in intracranial aneurysms can be constructed by using image-based vascular models and CFD techniques. This work evaluates the impact of the choice of imaging technique on these simulations.</p>
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<p id="p-3"><strong>MATERIALS AND METHODS:</strong> Ten aneurysms, imaged with 3DRA and CTA, were analyzed to assess the reproducibility of geometric and hemodynamic variables across the 2 modalities.</p>
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<p id="p-4"><strong>RESULTS:</strong> Compared with 3DRA models, we found that CTA models often had larger aneurysm necks (<em>P</em> = .05) and that most of the smallest vessels (between 0.7 and 1.0 mm in diameter) could not be reconstructed successfully with CTA. With respect to the values measured in the 3DRA models, the flow rate differed by 14.1 ± 2.8% (mean ± SE) just proximal to the aneurysm and 33.9 ± 7.6% at the aneurysm neck. The mean WSS on the aneurysm differed by 44.2 ± 6.0%. Even when normalized to the parent vessel WSS, a difference of 31.4 ± 9.9% remained, with the normalized WSS in most cases being larger in the CTA model (<em>P</em> = .04). Despite these substantial differences, excellent agreement (κ ≥ 0.9) was found for qualitative variables that describe the flow field, such as the structure of the flow pattern and the flow complexity.</p>
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<p id="p-5"><strong>CONCLUSIONS:</strong> Although relatively large differences were found for all evaluated quantitative hemodynamic variables, the main flow characteristics were reproduced across imaging modalities.</p>
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</div><div class="section glossary" id="glossary-1"><h2>Abbreviations</h2><dl id="def-list-1"><dt id="def-item-1">3DRA<span class="def-item-dt-sep"></span></dt><dd>3D rotational angiography<span class="def-item-dd-sep"></span></dd><dt id="def-item-2">ACA<span class="def-item-dt-sep"></span></dt><dd>anterior cerebral artery<span class="def-item-dd-sep"></span></dd><dt id="def-item-3">A<sub>N</sub><span class="def-item-dt-sep"></span></dt><dd>aneurysm neck area<span class="def-item-dd-sep"></span></dd><dt id="def-item-4">BA<span class="def-item-dt-sep"></span></dt><dd>basilar artery<span class="def-item-dd-sep"></span></dd><dt id="def-item-5">CFD<span class="def-item-dt-sep"></span></dt><dd>computational fluid dynamics<span class="def-item-dd-sep"></span></dd><dt id="def-item-6">CTA<span class="def-item-dt-sep"></span></dt><dd>CT angiography<span class="def-item-dd-sep"></span></dd><dt id="def-item-7">Δ<span class="def-item-dt-sep"></span></dt><dd>relative difference between the 3DRA and CTA models with respect to the 3DRA model<span class="def-item-dd-sep"></span></dd><dt id="def-item-8">ICA<span class="def-item-dt-sep"></span></dt><dd>internal carotid artery<span class="def-item-dd-sep"></span></dd><dt id="def-item-9">LWSS<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>the portion of aneurysm wall under low WSS (&lt;0.4 Pa) at end diastole<span class="def-item-dd-sep"></span></dd><dt id="def-item-10">M<span class="def-item-dt-sep"></span></dt><dd>number of cases for which the value in the CTA model was lower than in the 3DRA model<span class="def-item-dd-sep"></span></dd><dt id="def-item-11">MCA<span class="def-item-dt-sep"></span></dt><dd>middle cerebral artery<span class="def-item-dd-sep"></span></dd><dt id="def-item-12">MCA M1<span class="def-item-dt-sep"></span></dt><dd>MCA M1 segment<span class="def-item-dd-sep"></span></dd><dt id="def-item-13">MCA M1-M2<span class="def-item-dt-sep"></span></dt><dd>MCA M1-M2 bifurcation<span class="def-item-dd-sep"></span></dd><dt id="def-item-14">MWSS<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>maximum WSS on the aneurysm wall at peak systole<span class="def-item-dd-sep"></span></dd><dt id="def-item-15">NQ<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>Q<sub>A</sub>/Q<sub>P</sub><span class="def-item-dd-sep"></span></dd><dt id="def-item-16">NWSS<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>WSS<sub>A</sub>/WSS<sub>P</sub><span class="def-item-dd-sep"></span></dd><dt id="def-item-17">N90WSS<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>90WSS<sub>A</sub> normalized by the mean WSS on the aneurysm at peak systole<span class="def-item-dd-sep"></span></dd><dt id="def-item-18">OSI<span class="def-item-dt-sep"></span></dt><dd>oscillatory shear index<span class="def-item-dd-sep"></span></dd><dt id="def-item-19">Q<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>flow rate into the aneurysm<span class="def-item-dd-sep"></span></dd><dt id="def-item-20">Q<sub>P</sub><span class="def-item-dt-sep"></span></dt><dd>flow rate in the parent vessel just proximal to the aneurysm<span class="def-item-dd-sep"></span></dd><dt id="def-item-21">SE<span class="def-item-dt-sep"></span></dt><dd>standard error<span class="def-item-dd-sep"></span></dd><dt id="def-item-22">VA<span class="def-item-dt-sep"></span></dt><dd>vertebral artery<span class="def-item-dd-sep"></span></dd><dt id="def-item-23">V<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>aneurysm volume<span class="def-item-dd-sep"></span></dd><dt id="def-item-24">90WSS<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>90th percentile value of the WSS on the aneurysm at peak systole<span class="def-item-dd-sep"></span></dd><dt id="def-item-25">WSS<span class="def-item-dt-sep"></span></dt><dd>wall shear stress<span class="def-item-dd-sep"></span></dd><dt id="def-item-26">WSS<sub>A</sub><span class="def-item-dt-sep"></span></dt><dd>mean WSS on the aneurysm wall<span class="def-item-dd-sep"></span></dd><dt id="def-item-27">WSS<sub>P</sub><span class="def-item-dt-sep"></span></dt><dd>mean WSS on a segment of the parent vessel just proximal to the aneurysm</dd></dl></div><ul class="copyright-statement"><li class="fn" id="copyright-statement-1">Copyright © American Society of Neuroradiology</li></ul><div class="license" id="license-1"><p id="p-1">Indicates open access to non-subscribers at <a href="http://www.ajnr.org">www.ajnr.org</a></p></div><span class="highwire-journal-article-marker-end"></span></div><span class="related-urls"></span></div><a href="http://ajnr-stage2.stage.highwire.org/content/32/3/581.full" class="hw-link hw-link-article-full-text" data-icon-position="" data-hide-link-title="0">View Full Text</a></div>  </div>

  
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        	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">Vol. 32</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 3 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">1 Mar 2011 </div></div>
      
      
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    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">A.J.</span> <span class="nlm-surname">Geers</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">I.</span> <span class="nlm-surname">Larrabide</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">A.G.</span> <span class="nlm-surname">Radaelli</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Bogunovic</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Kim</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">H.A.F.</span> <span class="nlm-surname">Gratama van Andel</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">C.B.</span> <span class="nlm-surname">Majoie</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">E.</span> <span class="nlm-surname">VanBavel</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">A.F.</span> <span class="nlm-surname">Frangi</span></span></span></div>
  
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    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">A.J.</span> <span class="nlm-surname">Geers</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">I.</span> <span class="nlm-surname">Larrabide</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">A.G.</span> <span class="nlm-surname">Radaelli</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Bogunovic</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Kim</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">H.A.F.</span> <span class="nlm-surname">Gratama van Andel</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">C.B.</span> <span class="nlm-surname">Majoie</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">E.</span> <span class="nlm-surname">VanBavel</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">A.F.</span> <span class="nlm-surname">Frangi</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Mar 2011, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(3) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">581-586; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A2306 </span></div>
  
  
  
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