Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ilunga-Mbuyamba, Elisee, Avina-Cervantes, Juan Gabriel, Lindner, Dirk, Cruz-Aceves, Ivan, Arlt, Felix, Chalopin, Claire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
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
_version_ 1782429756196651008
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
work_keys_str_mv AT ilungambuyambaelisee vascularstructureidentificationinintraoperative3dcontrastenhancedultrasounddata
AT avinacervantesjuangabriel vascularstructureidentificationinintraoperative3dcontrastenhancedultrasounddata
AT lindnerdirk vascularstructureidentificationinintraoperative3dcontrastenhancedultrasounddata
AT cruzacevesivan vascularstructureidentificationinintraoperative3dcontrastenhancedultrasounddata
AT arltfelix vascularstructureidentificationinintraoperative3dcontrastenhancedultrasounddata
AT chalopinclaire vascularstructureidentificationinintraoperative3dcontrastenhancedultrasounddata