Shin-Hae Kim, Eun-Lim Lee, Eun-Bee Jo, Ho-Joon Kim

KIPS Transactions on Software and Data Engineering, Vol. 6, No. 4, pp. 211-216, Apr. 2017
10.3745/KTSDE.2017.6.4.211,   PDF Download:
Keywords: Medical Ultrasonography, Image Processing, Image Enhancement, Contrast Enhancement, Parametric Imaging
Abstract

This paper proposes image processing techniques that improve usability and performance in a diagnostic system of the contrast- enhanced ultrasonography. For a methodology for visualizing diagnostic parameter data in an ultrasonic medical image, an expression of transition time data with successive pixel values and a method of generating a lesion diagnostic parameter image with four categorized values are presented. We also introduce a MRF-based image enhancement technique to eliminate noises from generated parametric images. Such parametric image generation technique can overcome the difficulty of discriminating dynamic change in patterns in the ultrasonography. The technique clarifies the contour of the region in the original image and facilitates visual determination of the characteristics of the lesion through four colors. With regard to this MRF-based image enhancement, we define the energy function of consecutive pixel values and develop a technique to optimize it, and the usability of the proposed theory is examined through experiments with medical images.

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