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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 this paper, we described and validated a semi-automated algorithm based on the level set method to segment the media-adventitia boundary (MAB) and lumen-intima boundary (LIB) of the carotid arteries from 3D ultrasound (3DUS) images to support the computation of carotid vessel wall volume (VWV). We incorporated local region-based and edge-based energies for the MAB segmentation, and both local and...
Stenos is of the internal carotid artery (ICA) is implicated in approximately one quarter of stroke cases. The degree of stenos is is currently used to decide whether to undertake a surgical procedure to reduce the risk of further stroke. However it is known that the degree of stenos is is not a good predictor of stroke risk. It is hoped that prediction might be improved by incorporation of other...
A new level-set based active contour method for the segmentation of small blood vessels and other elongated structures is presented. Its main particularity is the presence of a length increasing force in the contour driving equation. The effect of this force is to push the active contour in the direction of thin elongated shapes. Although the proposed force is not stable in general, our experiments...
We present an approach for accurate localization of the neck of intracranial aneurysms and quantification of their geometry that is useful for their treatment through endovascular embolization. In particular, we first obtain a vessel segmentation using a topology-preserving level set method and extract the surface of the segmented vessel. We then separate the aneurysm from the parent vessels and localize...
Vessel segmentation is an essential task in many computer-aided medical systems. However, the topology complexity of vascular structures and the intensity inhomogeneity of angiogram make it a challenging problem. We propose a level set based predictor-corrector algorithm to meet these challenges. In the predictor step, the overall contour of vessel structures is delineated by piecewise constant (PC)...
Glaucoma is the one of the two major causes of blindness, which can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the surrounding tissues around the cup. A multimodality fusion approach for neuroretinal cup detection improves the accuracy of the boundary estimation...
Skeleton has very important applications in objects expression, data compression, computer vision and animation. In the discrete space, the basic skeleton algorithms have two categories: one is thinning, the other is based on the distance transformation, in a high-dimensional space generated from the surface to form the ridge to create a skeleton. The skeleton which is based on the distance transform...
This paper presents a new method for detecting the edge of intravascular ultrasound images, based on geometric active contours. The medical image segmentation method is based on the combination of traditional level set method and B-spline models. The new method only needs a few control points to achieve the effect of smoothing curves with drastic changes. Compared with the traditional level set function,...
The objective of this paper is to evaluate performance of the level set approach applied to segmentation and tracking of noisy 3D images of computer-simulated blood-vessel phantoms and artificial vascular trees. Of particular interest was the segmentation of thin vessels, with diameter smaller that voxel size. Flood fill technique was also explored, for comparison. Quantitative measures of segmentation...
The issue of vessel tracking in a novel, simultaneous ToF-SWI (time-of flight, susceptibility weighted imaging) 3D images is considered. Properties of the ToF-SWI images are discussed briefly. Results of arterial tree tracking by means of multiscale filtering, flod-fill and level set methods are presented and compared. Human brain and phantom MR images are used in the study. Topics of future research...
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...
Evaluation of aorta morphology and function in presence of aneurysms or dissection is crucial for a correct treatment choice between surgical resection and percutaneous stent-graft deployment. We developed and tested a new method for automated dynamic aorta segmentation from computed tomography (CT) images from which static and dynamic parameters of aortic morphology and function can be automatically...
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