The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Being performed under extensive radiation exposure, endovascular stent graft placements would greatly benefit from a reliable navigation solution. A successful implementation of such a system requires an accurate 2D-3D registration. Since the stent graft is only visible in the radiograph, registration algorithms can easily be attracted to wrong structures. In this paper, we address this problem by...
In this paper, a novel vesselness measure based on analysis of the Hessian matrix is presented. The larger eigenvalue of the Hessian matrix is used for vessel centerlines detection, while vessel orientations are estimated from the eigenvectors corresponding to the smaller eigenvalue. The vesselness measure combines information from vessel centerlines and orientations over scales to segment retinal...
We present a vascular segmentation and quantification method based on the right generalized cylinder state model (RGC-sm). The RGC-sm model includes a curvilinear axis associated to a stack of contours. The axis is described by a state vector (local curvature, torsion and rotation). The contours are described by a Fourier series decomposition. The challenge is to automatically adjust this model to...
A novel approach for vessel axis tracking is presented based on surface evolution in 3D. The main idea is to guide the evolution by analyzing the topology of intermediate segmentation results, and in particular, to impose shape constraints on the topology. For example, the topology can be constrained to represent a bifurcation, which can be imposed by extracting three different connected paths with...
We describe a means to automatically and efficiently isolate the outer surface of the entire heart in computer tomography (CT) cardiac scans. Isolating the entire heart allows the coronary vessels on the surface of the heart to be easily visualized despite the proximity of surrounding organs such as the ribs and pulmonary blood vessels. Numerous techniques have been described for segmenting the left...
In this paper we present a novel method for the combined hybrid visualization of the cerebral blood vessels, segmented from a 3D rotational angiography dataset, and datasets containing the soft tissue anatomy, such as CT or MR. This visualization method is targeted at the use in interventional treatment of vascular pathologies and endovascular treatment of the neoplastic tissue. Our method distinguishes...
Delineation and reconstruction of curvilinear structures in medical images are critical for the diagnosis of various vascular diseases and related surgical procedures. In this paper, we present a novel method for vascular structure segmentation and reconstruction, including the automatic detection of bifurcation points. First, we perform a preselection of tubular structures. Second, we trace the vessels...
Robustly segmenting vessels even with less sharp boundary is important for achieving accurate biological analysis of blood vessels regulation within organs such as liver. This process is crucial for microvaculature reconstruction which is necessary for red blood cells flow distribution regulation analysis. The vessels with sharp edges are often used during manual analysis skewing the data toward a...
Atherosclerosis is the major cause of heart attack and stroke in the western world. In this paper we present a computerized method for segmenting the athrerosclerotic carotid plaque from ultrasound images. The method uses the blood flow image first to detect the initial contour of the plaque, and then despeckle filtering and snakes to deform the initial contour for best fit of plaque boundaries. The...
Each year approximately 225,000 Americans die of vascular disease alone. For effective diagnosis and treatment of such diseases, accurate imaging of the complicated vascular structures is essential. Quantitative measures relating to motion and structural changes of vessels are extremely important for clinical diagnosis of such diseases. Current medical imaging techniques, however, cannot yet provide...
This work presents a segmentation method for medical images. The goal is to localize and parameterize the blood vessel in these images for subsequent analysis. We proposed a new segmentation strategy that combines a marker-controlled active contour model and the mathematical morphology methodology. The algorithm presented in This work is based on mathematical morphology operator and the implicit active...
An approach for the 3D segmentation and reconstruction of human left coronary arteries using angio-CT images is presented in This work. Each voxel in the 3D dataset is assumed to belong to one of the three homogeneous regions: blood, myocardium, and lung. A priori knowledge of the regions is introduced via Bayes' rule. Posterior probabilities obtained using Bayes' rule are anisotropically smoothed,...
We present a system for interactive explorations of extra- and intracranial blood vessels. Starting with a stack of images from 3D angiography, we use virtual clips to limit the segmentation of the vessel tree to the parts the neuroradiologists are interested in. Furthermore, methods of interactive virtual endoscopy are applied in order to provide an interior view of the blood vessels.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.