JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2011, Vol. 41 ›› Issue (2): 5-11.

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An automated method for the detection of the lumen and media-adventitia
 contours of sequential IVUS images

QU Huai-jing1, SUN Feng-rong2, ZHANG  Yun-chu1, YAO Gui-hua3, WU Yan-rong1, YANG Ming-qiang2   

  1. 1. School of Information & Electric Engineering, Shandong Jianzhu University, Jinan 250101, China;
    2. School of Information Science and Engineering, Shandong University, Jinan 250100, China;
    3. Cardiology Department of Qilu Hospital,  Shandong University, Jinan 250012, China
  • Received:2010-07-26 Online:2011-04-16 Published:2010-07-26

Abstract:

Because of  shortcomings of the existing contour detection of the intravascular ultrasound (IVUS) image, an improved method used for automatically detecting  the lumen and mediaadventitia contours of  sequential IVUS images was presented. First, the speckle noise of the image was effectively removed  in the contourlet transform domain. Then, the initial lumen and mediaadventitia contours of the image were estimated according to physical properties and structural information of sequential images. Finally, using the active contour model and the grey level gradient of the denoised image, and according to the dynamic programming technique, the lumen and mediaadventitia contours of the image were automatically detected. Experimental results showed that the proposed method is algorithmically simple, statistically accurate, and has clinical value.

Key words:  intravascular ultrasound, speckle denoising, active contour model, dynamic programming, contour detection

[1] LI Qianna,SUN Fengrong,LI Yanling,LI Xiaofeng,YAO Guihua,ZHANG Yun, . [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(5): 44-48 .
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