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http://dx.doi.org/10.3745/KTSDE.2015.4.7.297

Medical Parameter Extraction Using Time-Density Data in Contrast-Enhanced Ultrasound Image Sequence  

Lee, Jun-Yong (한동대학교 전산전자공학부)
Jung, Joong-Eun ((주)JPI 헬스케어 연구원)
Kim, Ho-Joon (한동대학교 전산전자공학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.4, no.7, 2015 , pp. 297-300 More about this Journal
Abstract
In medical ultrasonography, transit time and contrast enhancement patterns are considered as important parameters to analyze liver diseases. In many recent researches, time-intensity curves(TIC) have been used for calculating the transit time of the contrast agents. However, the intensity curve may include the variations which are caused by the micro-bubble effect of contrast agents. In this paper, we propose a complementary approach to diagnostic parameter extraction which utilizes a density information as well as the intensity data. The proposed technique improves the accuracy in extraction of the transit time and velocity of contrast agents for detection and characterization of focal liver lesions. Through the experiments using a set of clinical data, we show that the proposed methods can improve the reliability of the parametric image data.
Keywords
Ultrasound Image; Contrast Enhancement Pattern; Medical Image Processing;
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