Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6977
Title: Video segmentation of the common carotid artery intima media complex
Authors: Kasparis, Takis 
Papakyriakou, Pavlos
Christodoulou, Lakis
Keywords: Carotid artery
Filters and filtration
Algorithms
Cardiovascular system
Issue Date: 2012
Source: 12th International Conference on BioInformatics and BioEngineering, 2012, Article number 6399728, Pages 500-505
Abstract: The correct identification of the intima-media thickness (IMT) of the common carotid artery (CCA) walls has a high clinical relevance as it represents one of the most reliable predictor for future cardiovascular events. In this work we propose and evaluate an integrated system for the segmentation of the intima-media complex (IMC) and the lumen diameter in longitudinal ultrasound video of the CCA based on normalization, speckle reduction filtering (with a first order statistics filter) and snakes segmentation. The algorithm is initialized in the first video frame of the cardiac cycle by an automated initialization procedure and the borders of the far wall and near wall of the CCA are estimated. The IMC and the carotid diameter are then segmented automatically in the consecutive video frames for one cardiac cycle. The proposed algorithm was evaluated on 10 longitudinal ultrasound B-mode videos of the CCA and is compared with the manual tracings of a neurovascular expert, for every 20 frames in a time span of 3-5 seconds, covering in general 1-2 cardiac cycles. The algorithm estimated an IMTmean± standard deviation of (0.72±0.22) mm while the manual results were (0.70±0.19). The mean maximum and minimum diameter was (7.08±1.37) mm and (6.53±1.13) mm respectively. The results were validated based on statistical measures and univariate statistical analysis. It was shown that there was no significant difference between the snakes segmentation measurements and the manual measurements. The proposed integrated system could successfully segment the IMC in ultrasound CCA video sequences thus complementing manual measurements.
URI: http://ktisis.cut.ac.cy/handle/10488/6977
ISBN: 978-146734358-9
DOI: 10.1109/BIBE.2012.6399728
Rights: © 2012 IEEE
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

Show full item record

SCOPUSTM   
Citations 50

2
checked on Jan 19, 2017

Page view(s)

5
checked on Mar 29, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.