• 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