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Auto-Segmentation Algorithm For Liver-Vessel From Abdominal MDCT Image  

Park, Seong-Me (충남대학교 정보통신공학부)
Lee, You-Jin (충남대학교 정보통신공학부)
Park, Jong-Won (충남대학교 정보통신공학부)
Publication Information
Journal of Korea Multimedia Society / v.13, no.3, 2010 , pp. 430-437 More about this Journal
Abstract
It is essential for living donor liver transplantation that surgeon must understand the hepatic vessel structure to improve the success rate of operation. In this paper, we extract the liver boundary without other surrounding structures such as heart, stomach, and spleen using the contrast enhanced MDCT liver image sequence. After that, we extract the major hepatic veins (left, middle, right hepatic vein) with morphological filter after review the basic structure of hepatic vessel which reside in segmented liver image region. The purpose of this study is provide the overall status of transplantation operation with size estimation of resection part which is dissected along with the middle hepatic vein. The method of liver extraction is as follows: firstly, we get rid of background and muscle layer with gray level distribution ratio from sampling process. secondly, the coincident images match with unit mesh image are unified with resulted image using the corse coordinate of liver and body. thirdly, we extract the final liver image after expanding and region filling. Using the segmented liver images, we extract the hepatic vessels with morphological filter and reversed the major hepatic vessels only with a results of ascending order of vessel size. The 3D reconstructed views of hepatic vessel are generated after applying the interpolation to provide the smooth view. These 3D view are used to estimate the dissection line after identify the middle hepatic vein. Finally, the volume of resection region is calculated and we can identify the possibility of successful transplantation operation.
Keywords
Medical Image Processing; Human Organ Segmentation; 3D Visualization; Liver Segmentation Image;
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