Recognition of atherosclerotic plaques and their extended dimensioning with computerized tomography angiography imaging

Tomasz Markiewicz; Mirosław Dziekiewicz; Marek Maruszyński; Romana Bogusławska-Walecka; Wojciech Kozłowski

International Journal of Applied Mathematics and Computer Science (2014)

  • Volume: 24, Issue: 1, page 33-47
  • ISSN: 1641-876X

Abstract

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In this paper the authors raise the issue of automatic discrimination of atherosclerotic plaques within an artery lumen based on numerical and statistical thresholding of Computerized Tomography Angiographic (CTA) images and their advanced dimensioning as a support for preoperative vessel assessment. For the study, a set of tomograms of the aorta, as well as the ilio-femoral and femoral arteries were examined. In each case a sequence of about 130-480 images of the artery cutoff planes were analyzed prior to their segmentation based on morphological image transformation. A crucial step in the staging of atherosclerotic alteration is recognition of the plaque in the CTA image. To solve this problem, statistical and linear fitting methods, including the least-squares approximation by polynomial and spline polynomial functions, as well as the error fitting function were used. Also, new descriptors of atherosclerotic changes, such as the lumen decrease factor, the circumference occupancy factor, and the convex plaque area factor, are proposed as a means of facilitating preoperative vessel examination. Finally, ways to reduce the computational time are discussed. The proposed methods can be very useful for automatic quantification of atherosclerotic changes visualized by CTA imaging.

How to cite

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Tomasz Markiewicz, et al. "Recognition of atherosclerotic plaques and their extended dimensioning with computerized tomography angiography imaging." International Journal of Applied Mathematics and Computer Science 24.1 (2014): 33-47. <http://eudml.org/doc/271872>.

@article{TomaszMarkiewicz2014,
abstract = {In this paper the authors raise the issue of automatic discrimination of atherosclerotic plaques within an artery lumen based on numerical and statistical thresholding of Computerized Tomography Angiographic (CTA) images and their advanced dimensioning as a support for preoperative vessel assessment. For the study, a set of tomograms of the aorta, as well as the ilio-femoral and femoral arteries were examined. In each case a sequence of about 130-480 images of the artery cutoff planes were analyzed prior to their segmentation based on morphological image transformation. A crucial step in the staging of atherosclerotic alteration is recognition of the plaque in the CTA image. To solve this problem, statistical and linear fitting methods, including the least-squares approximation by polynomial and spline polynomial functions, as well as the error fitting function were used. Also, new descriptors of atherosclerotic changes, such as the lumen decrease factor, the circumference occupancy factor, and the convex plaque area factor, are proposed as a means of facilitating preoperative vessel examination. Finally, ways to reduce the computational time are discussed. The proposed methods can be very useful for automatic quantification of atherosclerotic changes visualized by CTA imaging.},
author = {Tomasz Markiewicz, Mirosław Dziekiewicz, Marek Maruszyński, Romana Bogusławska-Walecka, Wojciech Kozłowski},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {computed tomography; atherosclerotic plaque; image processing; approximation},
language = {eng},
number = {1},
pages = {33-47},
title = {Recognition of atherosclerotic plaques and their extended dimensioning with computerized tomography angiography imaging},
url = {http://eudml.org/doc/271872},
volume = {24},
year = {2014},
}

TY - JOUR
AU - Tomasz Markiewicz
AU - Mirosław Dziekiewicz
AU - Marek Maruszyński
AU - Romana Bogusławska-Walecka
AU - Wojciech Kozłowski
TI - Recognition of atherosclerotic plaques and their extended dimensioning with computerized tomography angiography imaging
JO - International Journal of Applied Mathematics and Computer Science
PY - 2014
VL - 24
IS - 1
SP - 33
EP - 47
AB - In this paper the authors raise the issue of automatic discrimination of atherosclerotic plaques within an artery lumen based on numerical and statistical thresholding of Computerized Tomography Angiographic (CTA) images and their advanced dimensioning as a support for preoperative vessel assessment. For the study, a set of tomograms of the aorta, as well as the ilio-femoral and femoral arteries were examined. In each case a sequence of about 130-480 images of the artery cutoff planes were analyzed prior to their segmentation based on morphological image transformation. A crucial step in the staging of atherosclerotic alteration is recognition of the plaque in the CTA image. To solve this problem, statistical and linear fitting methods, including the least-squares approximation by polynomial and spline polynomial functions, as well as the error fitting function were used. Also, new descriptors of atherosclerotic changes, such as the lumen decrease factor, the circumference occupancy factor, and the convex plaque area factor, are proposed as a means of facilitating preoperative vessel examination. Finally, ways to reduce the computational time are discussed. The proposed methods can be very useful for automatic quantification of atherosclerotic changes visualized by CTA imaging.
LA - eng
KW - computed tomography; atherosclerotic plaque; image processing; approximation
UR - http://eudml.org/doc/271872
ER -

References

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