조영증강 초음파 진단에서 파라미터 영상 생성 및 개선 기법 = Parametric Image Generation and Enhancement in Contrast-Enhanced Ultrasonography

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 Roberto Iezzi, "The role of contrast-enhanced ultrasound(CEUS) in visualizing atherosclerotic carotid plaque vulnerability: Which injection protocol? Which scanning technique" 84 (84): 865-871, 2015

2 C. Lin, "Robust techniques for abandoned and removed object based on Markov random field" 39 (39): 181-195, 2016

3 L. Royer, "Real-time Target tracking of soft tissues in 3D Ultrasound images based on robust visual information and mechanical simulation" 35 (35): 582-598, 2017

4 N. Rognin, "Parametric imaging for characterizing focal liver lesions in contrast-enhanced ultrasound" 57 (57): 2503-2511, 2010

5 N. Li, "Intrahepatic transit time predicts liver fibrosis in patients with chronic hepatitis B : quantitative assessment with contrast-enhanced ultrasonography" 36 (36): 1066-1075, 2010

6 A. Lim, "Hepatic vein transit times using a microbubble agent can predict disease severity non-invasively in patients with hepatitis C" 54 (54): 128-133, 2005

7 L. Chiorean, "Focal masses in a non-cirrhotic liver : The additional benefit of CEUS over baseline imaging" 84 (84): 1636-1643, 2015

8 C. Dietrich, "Characterisation of focal liver lesions with contrast enhanced ultrasonography" 51 (51): 9-17, 2004

9 S. Mule, "An automatic respiratory gating method for the improvement of microcirculation evaluation : application to contrast-enhanced ultrasound studies of focal liver lesions" 56 (56): 5153-5165, 2011