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http://hdl.handle.net/10553/74040
Title: | Evaluation of a semi-automatic segmentation algorithm in 3D intraoperative ultrasound brain angiography | Authors: | Chalopin, Claire Krissian, Karl Meixensberger, Jurgen Muns, Andrea Arlt, Felix Lindner, Dirk |
UNESCO Clasification: | 3314 Tecnología médica | Keywords: | Blood Vessel Neurosurgery Phantom Visualization |
Issue Date: | 2013 | Journal: | Biomedizinische Technik (Berlin. Zeitschrift) | Abstract: | In this work, we adapted a semi-automatic segmentation algorithm for vascular structures to extract cerebral blood vessels in the 3D intraoperative contrastenhanced ultrasound angiographic (3D-iUSA) data of the brain. We quantitatively evaluated the segmentation method with a physical vascular phantom. The geometrical features of the segmentation model generated by the algorithm were compared with the theoretical tube values and manual delineations provided by observers. For a silicon tube with a radius of 2 mm, the results showed that the algorithm overestimated the lumen radii values by about 1 mm, representing one voxel in the 3D-iUSA data. However, the observers were more hindered by noise and artifacts in the data, resulting in a larger overestimation of the tube lumen (twice the reference size). The first results on 3D-iUSA patient data showed that the algorithm could correctly restitute the main vascular segments with realistic geometrical features data, despite noise, artifacts and unclear blood vessel borders. A future aim of this work is to provide neurosurgeons with a visualization tool to navigate through the brain during aneurysm clipping operations. | URI: | http://hdl.handle.net/10553/74040 | ISSN: | 0013-5585 | DOI: | 10.1515/bmt-2012-0089 | Source: | Biomedizinische Technik [ISSN 0013-5585], v. 58 (3), p. 293-302, (Junio 2013) |
Appears in Collections: | Artículos |
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