• DocumentCode
    40629
  • Title

    Toward Novel Noninvasive and Low-Cost Markers for Predicting Strokes in Asymptomatic Carotid Atherosclerosis: The Role of Ultrasound Image Analysis

  • Author

    Golemati, S. ; Gastounioti, A. ; Nikita, Konstantina S.

  • Author_Institution
    Nat. Kapodistrian Univ. of Athens, Athens, Greece
  • Volume
    60
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    652
  • Lastpage
    658
  • Abstract
    Stroke is a serious and frequent cerebrovascular disease with an enormous socioeconomic burden worldwide. Stroke prevention includes treatment of carotid atherosclerosis, the most common underlying cause of stroke, according to a specific diagnostic algorithm. However, this diagnostic algorithm has proved insufficient for a large number of mostly asymptomatic subjects, which poses a significant research challenge of identifying novel personalized risk markers for the disease. This paper illustrates the potential of carotid ultrasound image analysis toward this direction, with ultrasound imaging being a low-cost and noninvasive imaging modality and ultrasound-image-based features revealing valuable information on plaque composition and stability. A concise report of state-of-the-art studies in the field is provided and a perspective for clinical scenario for optimal management of atherosclerotic patients is described. Challenges and necessary future steps toward the realization of this scenario are discussed in an attempt to urge and orient future research, and mainly include systematic applications to sufficiently large patient samples, appropriately designed longitudinal studies, confirmation with histological results, and clinical trials.
  • Keywords
    biomedical ultrasonics; blood vessels; brain; diseases; feature extraction; medical image processing; neurophysiology; ultrasonic imaging; asymptomatic carotid atherosclerosis; asymptomatic subjects; carotid atherosclerosis treatment; cerebrovascular disease; diagnostic algorithm; noninvasive imaging modality; noninvasive low-cost markers; optimal management; personalized risk markers; plaque composition; plaque stability; stroke prevention; ultrasound image analysis; ultrasound-image-based features; Atherosclerosis; Carotid arteries; Diseases; Image segmentation; Imaging; Ultrasonic imaging; Carotid; image analysis; stroke; ultrasound; Asymptomatic Diseases; Biological Markers; Carotid Arteries; Carotid Artery Diseases; Humans; Image Interpretation, Computer-Assisted; Risk Factors; Stroke;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2244601
  • Filename
    6428624