• DocumentCode
    21453
  • Title

    Computerized System for Quantitative Assessment of Atherosclerotic Plaques in the Femoral and Iliac Arteries Visualized by Multislice Computed Tomography

  • Author

    Markiewicz, Tomasz ; Dziekiewicz, Miroslaw ; Osowski, Stanislaw ; Boguslawska-Walecka, Romana ; Kozlowski, Wojciech ; Maruszynski, Marek

  • Author_Institution
    Warsaw Univ. of Technol., Warsaw, Poland
  • Volume
    62
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    1490
  • Lastpage
    1502
  • Abstract
    Objective: The investigation is aimed at the development of a semiautomatic method of examining the femoral and iliac arteries, and quantifying atherosclerotic plaques visible in the multislice computed tomography images. Methods: We have utilized the advanced morphology and segmentation methods for processing of a series of the images. In particular, a novel sorted pixel intensity approach to segment the artery into the lumen/plaque regions has been used, and effectively combined with the Gaussian mixture modeling to increase the accuracy of the segmentation. Results: Our numerical results are compared with those obtained manually by two experts. Statistics relevant to the progression of atherosclerosis have also been suggested. Results of the semiautomatic tracking of the femoral and iliac arteries and of the quantitative evaluation of atherosclerotic alterations therein have been shown to correspond well with the expert´s results. Conclusion: The developed system is likely to be valuable tool for supporting the quantitative evaluation of atherosclerotic changes in arteries. Significance: In its present form the system can be used for planning surgical treatment and/or predicting the course of the atherosclerotic alterations.
  • Keywords
    Gaussian processes; blood vessels; computerised tomography; diseases; feature extraction; image segmentation; image sequences; mathematical morphology; medical image processing; mixture models; object tracking; statistical analysis; Gaussian mixture modeling; advanced morphology method; artery segmentation accuracy; atherosclerosis progression; atherosclerotic alteration course prediction; atherosclerotic plaque visualization; computerized quantitative plaque assessment system; femoral artery plaque; iliac artery plaque; image series processing; lumen-plaque region segmentation; multislice computed tomography image; numerical analysis; quantitative atherosclerotic alteration evaluation; quantitative atherosclerotic plaque assessment; semiautomatic femoral artery tracking; semiautomatic iliac artery tracking; sorted pixel intensity method; statistical analysis; surgical treatment planning; visible atherosclerotic plaque quantification; Arteries; Atherosclerosis; Computed tomography; Image segmentation; Medical diagnostic imaging; Polynomials; Artery tracking; artery tracking; atherosclerosis; computed tomography (CT); iliac and femoral arteries; image segmentation; mathematical morphology; mathematical morphology.;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2015.2392254
  • Filename
    7010897