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Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851011/ https://www.ncbi.nlm.nih.gov/pubmed/27070610 http://dx.doi.org/10.3390/s16040497 |
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author | Ilunga-Mbuyamba, Elisee Avina-Cervantes, Juan Gabriel Lindner, Dirk Cruz-Aceves, Ivan Arlt, Felix Chalopin, Claire |
author_facet | Ilunga-Mbuyamba, Elisee Avina-Cervantes, Juan Gabriel Lindner, Dirk Cruz-Aceves, Ivan Arlt, Felix Chalopin, Claire |
author_sort | Ilunga-Mbuyamba, Elisee |
collection | PubMed |
description | 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 [Formula: see text]) and after (3D-iCEUS [Formula: see text]) tumor resection. Based on rigid registration techniques, a preselected vascular segment in cT1MR is searched in 3D-iCEUS [Formula: see text] and 3D-iCEUS [Formula: see text] 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. |
format | Online Article Text |
id | pubmed-4851011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48510112016-05-04 Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data Ilunga-Mbuyamba, Elisee Avina-Cervantes, Juan Gabriel Lindner, Dirk Cruz-Aceves, Ivan Arlt, Felix Chalopin, Claire Sensors (Basel) Article 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 [Formula: see text]) and after (3D-iCEUS [Formula: see text]) tumor resection. Based on rigid registration techniques, a preselected vascular segment in cT1MR is searched in 3D-iCEUS [Formula: see text] and 3D-iCEUS [Formula: see text] 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. MDPI 2016-04-08 /pmc/articles/PMC4851011/ /pubmed/27070610 http://dx.doi.org/10.3390/s16040497 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ilunga-Mbuyamba, Elisee Avina-Cervantes, Juan Gabriel Lindner, Dirk Cruz-Aceves, Ivan Arlt, Felix Chalopin, Claire Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data |
title | Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data |
title_full | Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data |
title_fullStr | Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data |
title_full_unstemmed | Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data |
title_short | Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data |
title_sort | vascular structure identification in intraoperative 3d contrast-enhanced ultrasound data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851011/ https://www.ncbi.nlm.nih.gov/pubmed/27070610 http://dx.doi.org/10.3390/s16040497 |
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