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2014 | 24 | 1 | 33-47
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
24
Numer
1
Strony
33-47
Opis fizyczny
Daty
wydano
2014
otrzymano
2013-01-04
poprawiono
2013-08-30
Twórcy
  • Institute of Theory of Electrical Engineering, Measurement and Information Systems, Warsaw University of Technology, Politechniki 1, 00-661 Warsaw, Poland
  • Department of Pathomorphology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, Poland
  • Department of Vascular and Endovascular Surgery, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, Poland
  • Department of Vascular and Endovascular Surgery, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, Poland
  • Department of Radiology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, Poland
  • Department of Pathomorphology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, Poland
Bibliografia
  • Adame, I.M., van der Geest, R.J., Wasserman, B.A., Mohamed M.A., Reiber, J.H. and Lelieveldt, B.P. (2004). Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images, MAGMA 16(5): 227-234.
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  • Manniesing, R., Viergever, M., van der Lugt, A. and Niessen, W. (2008). Cerebral arteries: Fully automated segmentation from CT angiography-a feasibility study, Radiology 247(3): 841-846.
  • Manniesing, R., Schaap, M., Rozie, S., Hameeteman, R., Vukadinovic, D., van der Lugt, A. and Niessen, W. (2010). Robust CTA lumen segmentation of the atherosclerotic carotid artery bifurcation in a large patient population, Medical Image Analysis 14(6): 759-769.
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  • Vukadinovic, D., Rozie, S., van Gils, M., van Walsum, T., Manniesing, R., van der Lugt, A. and Niessen, W.J. (2012). Automated versus manual segmentation of atherosclerotic caroid plaque volume and components in CTA: Associations with cardiovascular risk factors, International Journal of Cardiovascular Imaging 28(4): 877-887.
  • Vukadinovic, D., van Walsum, T., Manniesing, R., Rozie, S., Hameeteman, R., de Weert, T., van der Lugt, A. and Niessen, W. (2010). Segmentation of the outer vessel wall of the common carotid artery in CTA, IEEE Transactions on Medical Imaging 29(1): 65-76.
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv24i1p33bwm
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