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The liver is one of the largest internal organs in the human body and has the most complicated vascular system. However, it is difficult to obtain very high-quality images in clinical. Meanwhile, a good understanding and observation of skeleton lines of the liver vessel system is one of the key factors to the judgment and planning of surgeries. To recover the diameter information lost both in the...
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...
There are three kinds of blood vessel systems in liver and these different kinds of vessels are typically visible in each phase of contrast enhanced liver CT Data. In order to merge the different information into one image, image registration should be applied. In this paper, a hybrid image registration for different phases of contrast enhanced liver CT data was studied. Firstly, a rigid registration...
CT and MR images have been used in the liver disease treatment. In order to merge the different information into one image, image registration and data fusion must be adopted. In this paper, image registration and data fusion for MR and CT images of liver was studied. Firstly, the maximization of mutual information method was proposed to register the images. Then, some optimization algorithms, such...
Generating tetrahedral meshes from CT slices is a very important step in a hepatic surgical simulation. Manual creating of these tetrahedrons is often very hard or impossible, because of hepatic geometry complexity. Therefore we have developed a common framework for generating liver tetrahedral FEM models from CT slices. This framework is consists of several steps includes liver segmentation, 3D reconstruction,...
There are three kinds of blood vessel systems in liver and the localization of each intrahepatic vessel system is one of the most important issues for liver surgery. These different kinds of vessels are typically visible in each phase of contrast enhanced liver CT Data. In order to merge the different information into one image, image registration and data fusion must be adopted. In this paper, image...
There are three kinds of blood vessel systems in liver and the localization of each intrahepatic vessel system is one of the most important issues for liver surgery. In order to reconstruct all the vessels from the contrast-enhanced CT date, image registration must be adopted. In this paper, the registration of contrast-enhanced liver CT data in different phases was studied. Firstly, we proposed a...
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...
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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