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In the recent years, reconstructing 3D liver and its vessels from abdominal CT volume images becomes an inevitable and necessary research field. In this paper, a method of 3D reconstruction of liver with its vessels has been implemented, which involves volume preprocessing, de-noising, segmentation, contouring, and combination of different modalities. An advanced liver segmentation algorithms have...
In the context of vessel tree structures segmentation with implicit deformable models, we propose to exploit convolution surfaces to introduce a novel variational formulation, robust to bifurcations, tangential vessels and aneurysms. Vessels are represented by an implicit function resulting from the convolution of the centerlines of the vessels, modeled as a second implicit function, with localized...
The segmentation and classification of the major intra-hepatic blood vessels are critical for the robust identification of the segmental anatomy of the liver. We propose a novel 4D graph-based method to segment and label the hepatic and portal veins. The algorithm uses multi-phase CT images to model the differential enhancement of the liver structures and Hessian-based vesselness likelihood to avoid...
Graphs are useful representations of the liver vasculature. They support tree matching algorithms in landmark-based registration algorithms, they are useful to separate connected vessels from two different vessel systems and are the basis of vessel annotation tools. In this paper, we propose a hierarchical decomposition of vessel skeletons into sub-branches. This simplifies the process of creating...
The accurate segmentation of liver vessels is an important step for further computer assisted analysis in oncologic planning tools. Multiscale based vessel enhancement methods are very famous and many papers about this topic were published. Vesselness filters proposed by Sato et al., Frangi et al. and Erdt et al. are based on eigenvalue analysis of the Hessian matrix. They were developed using completely...
Efficient visualization of vascular structures is essential for diagnosis, therapy planning and medical education. In this paper, we present an approach which is based on a prior binary segmentation result, point extraction and Poisson surface reconstruction. The proposed method has been applied to liver vessel trees and aortic vessel trees. The experimental results show that it can effectively achieve...
A novel algorithm is proposed in this paper in terms of the existing segmentation algorithm for pulmonary parenchyma of computed tomography (CT) image lacking automation. The images from blood vessels, bone, liver, heart and muscle composition on thoracic CT is characterized by great width and high gray-level, considering that, the proposed algorithm uses linear filtering to extract the outline of...
Vascular registration is a challenging problem with many potential applications. However, registering vessels accurately is difficult as they often occupy a small portion of the image and their relative motion/deformation is swamped by the displacements seen in large organs such as the heart and the liver. Our registration method uses a vessel detection algorithm to generate a vesselness image (probability...
Hepatic vessel structure is very important to ensure the blood supply of the liver tissue. Therefore the knowledge of the hepatic vessel system is indispensable in liver surgery planning, for example before performing a liver resection. The purpose of this paper is to present an easy to use and fast method concerning hepatic vessel segmentation and risk analysis, which is intended to be applicable...
Hepatic vessel trees are the key structures for hepatic disease diagnosis and liver surgery planning. They are especially useful in estimating the volumes of the left and right hepatic lobes, integral for maximizing the safety of the donor and the recipient during a living donors liver transplantation (LDLT). In this paper, we propose the following steps for the automated segmentation of hepatic vessel...
Extracting hepatic vasculature from three dimensional imagery is important for diagnosis of liver disease and planning of liver surgery. In this paper we propose a method for generation of 3D skeletal graph of liver vessels using thinning algorithm and graph theory. First of all, basic methodology in the proposed method is introduced. Secondly, the skeletonization method together with a pre-processing...
Liver blood vessels play an important role in the diagnosis and treatment of the hepatic disease. In this paper, we present an automatic segmentation method of liver blood vessels from abdominal MDCT images using the level set method. Initialization of the level set function is the most important thing. For the flexible initialization, we segment the liver automatically using morphological filtering...
Extracting hepatic vasculature from 3D imagery is important for diagnosis of liver disease and planning liver surgery. In this paper we propose to segment vessels from liver CT images using a 3D graph-cuts based method that utilizes probabilistic intensity information and surface smoothness as constraints. A semi-automatic graph-based technique is then employed to efficiently separate the hepatic...
A template tracking approach to the segmentation of small 3D vessel structures is presented. The main contributions are a general formulation of a vessel template function and a multiple hypotheses tracking framework that is shown to improve the tracking robustness. The methodology is demonstrated using CT angiography data of the liver to which a hybrid region growing and tracking segmentation is...
Within a specific medical application, the primary liver cancer curative treatment by a percutaneous high intensity ultrasound surgery, our study was designed to propose a fast 3D semi-automatic segmentation method of the liver, the tumor and the hepatic vascular networks. This method is characterized by a graph description of contrast medium injected CT volume where the links between the nodes describe...
In this article, a system for automatic analysis of intraoperative B-Mode ultrasound images of the liver is presented. The system is part of an assistance system for open liver surgery. It supports 3D-ultrasound imaging and automatic segmentation of vessel structures in the intraoperative ultrasound images. With this segmentation results, an ultrasound based 3D-model of the vascular structure is extracted...
The accurate knowledge of the liver structure including blood vessels topography, liver surface and lesion localizations is usually required in treatments like liver ablations and radiotherapy. In this paper, we propose an approach for automatic segmentation of liver complex geometries. It consists of applying a graph-cut method initialized by an adaptive threshold. The algorithm has been tested on...
Couinaud's classification of liver anatomy has been widely accepted in practice. However realizing this classification effectively is not an easy task. In this paper, a simplified segment method based on the hepatic vessel tree is proposed. This method contains four main steps: vasculature segmentation, 3D thinning, vascular tree pruning and classification, vascular projection and curve fit. The first...
In recent years, various imaging techniques have been introduced into medical fields for extraction of abdominal area such as magnetic resonance imaging, high resolution helical computed tomography scanners with multi-detector rows, and positron emission tomography etc. Especially, HRCT is one of the useful diagnosis systems because it provides high resolution images to physician. In the field of...
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