Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data
Identifieur interne : 000006 ( Main/Exploration ); précédent : 000005; suivant : 000007Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data
Auteurs : Elisee Ilunga-Mbuyamba ; Juan Gabriel Avina-Cervantes ; Dirk Lindner ; Ivan Cruz-Aceves ; Felix Arlt ; Claire ChalopinSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2016.
Abstract
In this paper, a method of vascular structure identification in intraoperative 3D Contrast-Enhanced Ultrasound (CEUS) data is presented. Ultrasound imaging is commonly used in brain tumor surgery to investigate in real time the current status of cerebral structures. The use of an ultrasound contrast agent enables to highlight tumor tissue, but also surrounding blood vessels. However, these structures can be used as landmarks to estimate and correct the brain shift. This work proposes an alternative method for extracting small vascular segments close to the tumor as landmark. The patient image dataset involved in brain tumor operations includes preoperative contrast T1MR (cT1MR) data and 3D intraoperative contrast enhanced ultrasound data acquired before (3D-iCEUS
Url:
DOI: 10.3390/s16040497
PubMed: 27070610
PubMed Central: 4851011
Affiliations:
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data</title>
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<front><div type="abstract" xml:lang="en"><p>In this paper, a method of vascular structure identification in intraoperative 3D Contrast-Enhanced Ultrasound (CEUS) data is presented. Ultrasound imaging is commonly used in brain tumor surgery to investigate in real time the current status of cerebral structures. The use of an ultrasound contrast agent enables to highlight tumor tissue, but also surrounding blood vessels. However, these structures can be used as landmarks to estimate and correct the brain shift. This work proposes an alternative method for extracting small vascular segments close to the tumor as landmark. The patient image dataset involved in brain tumor operations includes preoperative contrast T1MR (cT1MR) data and 3D intraoperative contrast enhanced ultrasound data acquired before (3D-iCEUS<inline-formula><mml:math id="mm1"><mml:msub><mml:mrow></mml:mrow>
<mml:mrow><mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
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) and after (3D-iCEUS<inline-formula><mml:math id="mm2"><mml:msub><mml:mrow></mml:mrow>
<mml:mrow><mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>d</mml:mi>
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) tumor resection. Based on rigid registration techniques, a preselected vascular segment in cT1MR is searched in 3D-iCEUS<inline-formula><mml:math id="mm3"><mml:msub><mml:mrow></mml:mrow>
<mml:mrow><mml:mi>s</mml:mi>
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and 3D-iCEUS<inline-formula><mml:math id="mm4"><mml:msub><mml:mrow></mml:mrow>
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data. The method was validated by using three similarity measures (Normalized Gradient Field, Normalized Mutual Information and Normalized Cross Correlation). Tests were performed on data obtained from ten patients overcoming a brain tumor operation and it succeeded in nine cases. Despite the small size of the vascular structures, the artifacts in the ultrasound images and the brain tissue deformations, blood vessels were successfully identified.</p>
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</TEI>
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<tree><noCountry><name sortKey="Arlt, Felix" sort="Arlt, Felix" uniqKey="Arlt F" first="Felix" last="Arlt">Felix Arlt</name>
<name sortKey="Avina Cervantes, Juan Gabriel" sort="Avina Cervantes, Juan Gabriel" uniqKey="Avina Cervantes J" first="Juan Gabriel" last="Avina-Cervantes">Juan Gabriel Avina-Cervantes</name>
<name sortKey="Chalopin, Claire" sort="Chalopin, Claire" uniqKey="Chalopin C" first="Claire" last="Chalopin">Claire Chalopin</name>
<name sortKey="Cruz Aceves, Ivan" sort="Cruz Aceves, Ivan" uniqKey="Cruz Aceves I" first="Ivan" last="Cruz-Aceves">Ivan Cruz-Aceves</name>
<name sortKey="Ilunga Mbuyamba, Elisee" sort="Ilunga Mbuyamba, Elisee" uniqKey="Ilunga Mbuyamba E" first="Elisee" last="Ilunga-Mbuyamba">Elisee Ilunga-Mbuyamba</name>
<name sortKey="Lindner, Dirk" sort="Lindner, Dirk" uniqKey="Lindner D" first="Dirk" last="Lindner">Dirk Lindner</name>
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