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
Link To Document :
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