• DocumentCode
    915153
  • Title

    Manual and automated media and intima thickness measurements of the common carotid artery

  • Author

    LOIZOU, CHRISTOS P. ; Pattichis, Constantinos S. ; Nicolaides, Andrew N. ; Pantziaris, Marios

  • Author_Institution
    Sch. of Sci., Dept. of Comput. Sci., Intercollege, Limassol
  • Volume
    56
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    983
  • Lastpage
    994
  • Abstract
    The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of the development of cardiovascular disease (CVD). It was proposed but not thoroughly investigated that the media layer (ML) thickness (MLT), its composition, and its texture may be indicative of cardiovascular risk and for differentiating between patients with high and low risk. In this study, we investigate an automated method for segmenting the ML and the intima layer (IL) and measurement of the MLT and the intima layer thickness (ILT) in ultrasound images of the CCA. The snakes segmentation method was used and was evaluated on 100 longitudinal ultrasound images acquired from asymptomatic subjects, against manual segmentation performed by a neurovascular expert. The mean plusmn standard deviation (sd) for the first and second sets of manual and the automated IMT, MLT, and ILT measurements were 0.71 plusmn 0.17 mm, 0.72 plusmn 0.17 mm, 0.67 plusmn 0.12 mm; 0.25 plusmn 0.12 mm, 0.27 plusmn 0.14 mm, 0.25 plusmn 0.11 mm; and 0.43 plusmn 0.10 mm, 0.44 plusmn 0.13 mm, and 0.42 plusmn 0.10 mm, respectively. There was overall no significant difference between the manual and the automated IMC, ML, and IL segmentation measurements. Therefore, the automated segmentation method proposed in this study may be used successfully in the measurement of the MLT and ILT complementing the manual measurements. MLT was also shown to increase with age (for both the manual and the automated measurements). Future research will incorporate the extraction of texture features from the segmented ML and IL bands, which may indicate the risk of future cardiovascular events. However, more work is needed for validating the proposed technique in a larger sample of subjects.
  • Keywords
    biomedical ultrasonics; blood vessels; cardiovascular system; feature extraction; image segmentation; image texture; medical image processing; thickness measurement; automated segmentation; cardiovascular disease; common carotid artery; intima-media thickness measurement; manual segmentation; media layer thickness; snakes segmentation method; texture feature extraction; ultrasound images; Cardiology; Cardiovascular diseases; Carotid arteries; Feature extraction; Image segmentation; Measurement standards; Performance evaluation; Thickness measurement; Ultrasonic imaging; Ultrasonic variables measurement; Aged; Cardiovascular Diseases; Carotid Artery, Common; Data Interpretation, Statistical; Female; Humans; Male; Middle Aged; Regression Analysis; Reproducibility of Results; Signal Processing, Computer-Assisted; Statistics, Nonparametric; Tunica Intima; Tunica Media; Ultrasonography;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2009.1130
  • Filename
    4976283