DocumentCode
112617
Title
A Comparison of Ultrasound Intima-Media Thickness Measurements of the Left and Right Common Carotid Artery
Author
Loizou, Christos P. ; Nicolaides, Andrew ; Kyriacou, Efthyvoulos ; Georghiou, Niki ; Griffin, Maura ; Pattichis, Constantinos S.
Author_Institution
Dept. of Comput. Sci., Intercollege, Limassol, Cyprus
Volume
3
fYear
2015
fDate
2015
Firstpage
1
Lastpage
10
Abstract
The intima-media thickness (IMT) of the common carotid artery (CCA) is an established indicator of cardiovascular disease (CVD). There have been reports about the difference between the left and the right sides of the CCA IMT and their relation with CVD. In this paper, we propose an automated system based on image normalization, speckle reduction filtering, and snakes segmentation, for segmenting the CCA, perform IMT measurements, and provide the differences between the left and the right sides. The study was performed on 1104 longitudinal-section ultrasound images acquired from 568 men and 536 women out of which 125 had cardiovascular symptoms (CVD). A cardiovascular expert manually delineated the IMT for the normal and the CVD groups. The corresponding (normal versus CVD) IMT mean ± standard deviation values for the left and the right sides were 0.74 ± 0.24 versus 0.87 ± 0.24 mm and 0.70 ± 0.17 versus 0.80 ± 0.18 mm, respectively. The main findings of this paper can be summarized as follows: 1) there was no significant difference between the CCA left side IMT and the right side IMT. These findings suggest that the measurement of the CCA IMT on one side only is needed for the normal group (and this is in agreement with other studies); 2) there were statistical significant differences for the IMT measurements between the normal group and the CVD group for both the left and the right sides; 3) there was an increasing linear relationship of the left and the right IMT measurements with age for the normal group; and to a lesser extend for the CVD group; 4) no statistical significant differences were found between the manual and the automated IMT measurements for both sides; and 5) the best result for classification disease modeling, using support vector machines, to discriminate between the normal and the CVD groups was a 64%±3.5% correct classifications score when using both the left and the right IMT automated measureme- ts. Further research is required for estimating differences and similarities between left and right intima media complex structure and morphology and their variability with texture features for differentiating between the normal and the CVD group.
Keywords
biomedical ultrasonics; blood vessels; cardiovascular system; diseases; feature extraction; image classification; image filtering; image segmentation; image texture; medical image processing; speckle; support vector machines; thickness measurement; ultrasonic measurement; IMT measurements; automated system; cardiovascular disease; cardiovascular symptoms; classification disease modeling; image normalization; left common carotid artery; longitudinal-section ultrasound images; morphology; right common carotid artery; snakes segmentation; speckle reduction filtering; support vector machines; texture features; ultrasound intima-media thickness measurements; Arteries; Cardiovascular diseases; Image segmentation; Manuals; Ultrasonic imaging; Ultrasonic variables measurement; B-mode; Common carotid artery; IMT; Ultrasound imaging; cardiovascular disease; common carotid artery; intima media thickness; ultrasound imaging;
fLanguage
English
Journal_Title
Translational Engineering in Health and Medicine, IEEE Journal of
Publisher
ieee
ISSN
2168-2372
Type
jour
DOI
10.1109/JTEHM.2015.2450735
Filename
7138563
Link To Document