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Liver segmentation is the fundamental step in computer-aided liver disease diagnosis and surgery planning. In this study, we developed a fully automatic liver extraction scheme based on an adaptive fast marching method (FMM). Firstly, a thresholding operation was applied to remove the ribs, spines and kidneys. Followed by a smooth filter for noise reduction. Secondly, a nonlinear gray scale converter...
Liver segmentation on computed tomography (CT) images is a challenging task because the images are often corrupted by noise and sampling artifacts. Thus we choose GVF snake to perform the task. Unfortunately, GVF snake use Gaussian function to generate the edge map. We find that this often cause new problems such as blur the liver boundary. To avoid this, a Canny edge detector is a good choice. Another...
Some methods for registration of human eyes tissue images were described in this paper. Firstly, the algorithm of moment and principal axes was used to register the image sequence of eye's tissue slices in the rough. Then, a modified segmentation-counting registration algorithm was proposed to register the image sequence more accurately, which is not only as precision as maximization of mutual information...
Hepatic vessel system is one of the most complex vessel systems in human body. For liver surgical planning, morphology and topology analysis of the hepatic vessel system is of our major interest. In this article, we present a new method to analyze the liver vessel system. Starting from the raw CT data set, vessel system is segmented. Based on that, then skeleton line of the vessel system is extracted...
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