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


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 7, pp. 297-300, Jul. 2015
10.3745/KTSDE.2015.4.7.297, Full Text:

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.


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Cite this article
[IEEE Style]
J. Y. Lee, J. E. Jung and H. J. Kim, "Medical Parameter Extraction Using Time-Density Data in Contrast-Enhanced Ultrasound Image Sequence," KIPS Transactions on Software and Data Engineering, vol. 4, no. 7, pp. 297-300, 2015. DOI: 10.3745/KTSDE.2015.4.7.297.

[ACM Style]
Jun Yong Lee, Joong Eun Jung, and Ho Joon Kim. 2015. Medical Parameter Extraction Using Time-Density Data in Contrast-Enhanced Ultrasound Image Sequence. KIPS Transactions on Software and Data Engineering, 4, 7, (2015), 297-300. DOI: 10.3745/KTSDE.2015.4.7.297.