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Magnetic resonance angiography (MRA) provides a noninvasive means to detect the presence, location and severity of atherosclerosis throughout the vascular system. In such studies, and especially those in the coronary arteries, the vessel luminal area is typically measured at multiple cross-sectional locations along the course of the artery. The advent of fast volumetric imaging techniques covering...
Tree-like vessel structures are an information-rich source for many image analysis tasks. Hence tracking algorithms extracting such structures have wide applicability. However, due to image artifacts and the minute nature of vessels, these algorithms face several challenges; two of the most common ones are 1) early termination, where tracking stops before the structure ends and 2) leaking, where tracking...
This paper presents a 3D reconstruction method of coronary arteries from multiple projections, that works efficiently in two steps: first, a 2D processing is performed to obtain and classify the vessels branches on the projections, estimating also the radii. Then, a novel 3D reconstruction step is performed from pair of projections, finding the best intersections between ray bundles corresponding...
In this work, we present an automatic branch and stenoses detection method that is capable of detecting all types of plaques in Computed Tomography Angiography (CTA) modality. Our method is based on the vessel extraction algorithm we proposed in [1], and detects branches and stenoses in a very fast way. We demonstrate the performance of our branch detection method on 3 complex tubular structured synthetic...
Pulmonary hypertension is a common cause of death among patients with sickle cell disease. This retrospective study investigates the use of pulmonary vein analysis to diagnose pulmonary hypertension non-invasively with CT-Angiography images. Ten images from patients with pulmonary hypertension were matched with controls. An adaptive fast marching approach is applied in order to segment the left atrium...
Coarctation of the aorta (CoA), is an obstruction of the aortic arch present in 5–8% of congenital heart diseases. For children older than a year, CoA is increasingly treated by aortic stenting instead of surgical repair. In pediatric cardiology, CMR is accepted as the standard non-invasive imaging modality to assess the aortic arch in it's entire spatial context [1]. Interpreting such 3D datasets...
We introduce a patient-specific model for coronary circulation, by combining anatomical, hemodynamic and functional information from medical images and other clinical observations. The main components of the coupled model are: a lumped heart model, a reduced-order model for hemodynamics in the arterial vessel tree (both healthy and stenosed), and a physiological model for the microvascular bed. The...
The most common cause of acute pulmonary hypertension is pulmonary embolism (PE). Classification of PE severity can be based on obstruction indices that are estimated from clinical imaging, however, as patients with apparently similar levels of obstruction can have quite different clinical outcomes, obstruction indices currently have limited use clinically. Embolus size and location affects patient...
This paper deals with the identification of the left main coronary bifurcation (LMB) in 2D angiograms. We resort to a generic 3D model of the LMB that is projected in the proper angulation to retrieve the expected 2D skeleton of the LMB in the considered image. We derive from it an efficient discriminating filter that allows detecting the LMB, while being robust to anatomical variations. We demonstrate...
In clinical practice, detection and quantification of calcified lesions in the coronary arteries and aorta is normally performed on non contrast enhanced Computed Tomography (CT) scans. This CT scan is generally followed by a contrast enhanced angiography (CTA) scan for better plaque visualization. We propose and evaluate a method for the detection of calcified lesions on CTA scans. Calcium lesion...
Automatic coronary extraction has great clinical importance in the effective handling and visualization of large amounts of 3D data. Despite tremendous previous research, coronary extraction remains difficult. Two such difficulties are extraction of both normal and abnormal vessels and reconstruction of exact tree structures based on anatomical knowledge. To solve the first difficulty, we propose...
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