Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data
Telematics (CA), Engineering Division (DICIS), University of Guanajuato, Campus Irapuato-Salamanca, Carr. Salamanca-Valle km 3.5 + 1.8, Com. Palo Blanco, Salamanca, Gto. 36885, Mexico
Department of Neurosurgery, University Hospital Leipzig, Leipzig 04103, Germany
CONACYT Research-Fellow, Center for Research in Mathematics (CIMAT), A.C., Jalisco S/N, Col. Valenciana, Guanajuato, Gto. 36000, Mexico
Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig 04103, Germany
Author to whom correspondence should be addressed.
Academic Editors: Steffen Leonhardt and Daniel Teichmann
Received: 22 February 2016 / Revised: 19 March 2016 / Accepted: 31 March 2016 / Published: 8 April 2016
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
) and after (3D-iCEUS
) tumor resection. Based on rigid registration techniques, a preselected vascular segment in cT1MR is searched in 3D-iCEUS
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.
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Ilunga-Mbuyamba, E.; Avina-Cervantes, J.G.; Lindner, D.; Cruz-Aceves, I.; Arlt, F.; Chalopin, C. Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data. Sensors 2016, 16, 497.
Ilunga-Mbuyamba E, Avina-Cervantes JG, Lindner D, Cruz-Aceves I, Arlt F, Chalopin C. Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data. Sensors. 2016; 16(4):497.
Ilunga-Mbuyamba, Elisee; Avina-Cervantes, Juan G.; Lindner, Dirk; Cruz-Aceves, Ivan; Arlt, Felix; Chalopin, Claire. 2016. "Vascular Structure Identification in Intraoperative 3D Contrast-Enhanced Ultrasound Data." Sensors 16, no. 4: 497.
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