Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4129
Title: Full-automated Medical Imaging System for Segmentation and Detection of Carotid Plaque and Carotid Artery lumen From Ultrasound Images
Authors: Loizou,  Christos P. 
Spyrou, Christina 
Pantziaris, Marios 
Kasparis, Takis 
Christodoulou, Lakis 
metadata.dc.contributor.other: Κασπαρής, Τάκης
Χριστοδούλου, Λάκης
Παντζάρης, Μάριος
Σπύρου, Χριστίνα
Λοϊζου, Χρίστος
Major Field of Science: Engineering and Technology;Medical and Health Sciences
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering;Medical Engineering;Clinical Medicine
Keywords: Engineering;Medical Informatics;Automated medical imaging system;Carotid plaque;Carotid artery;Ultrasound images
Issue Date: 2012
Source: Biomedical Engineering / Biomedizinische Technik, 2012, vol.57
Volume: 57
Journal: Biomedical Engineering / Biomedizinische Technik 
Abstract: The full segmentation and detection of the common carotid artery (CCA) in ultrasound images is important for the evaluation of the intima media thickness (IMT) and for the measurement of the artery stenosis. The IMT as well as the stenosis are considered to be the significant markers for the clinical evaluation of the risk of stroke. The current research proposes full-automated medical imaging system for the segmentation and detection of the CCA and the common artery lumen (CAL), which is based on an adaptive snake-contour segmentation algorithm. The CCA is segmented by the proposed algorithm into different distinct regions, namely the IMT, intima-media (IL), media-layer (ML), carotid plaque and lumen.
URI: https://hdl.handle.net/20.500.14279/4129
ISSN: 1862278X
DOI: 10.1515/bmt-2012-4155
Rights: © 2012 by Walter de Gruyter
Type: Article
Affiliation : Cyprus Institute of Neurology and Genetics 
Cyprus University of Technology 
Appears in Collections:Άρθρα/Articles

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