A model-based approach to interactive segmentation of abdominal aortic aneurysms from CTA data is presented. After manual delineation of the aneurysm sac in the first slice, the method automatically detects the contour in subsequent slices, using the result from the previous slice as a reference

Abstract—Pulmonary embolism (PE) is a common life-threat-ening disorder for which an early diagnosis is desirable. We pro-pose a new system for the automatic detection of PE in contrast-en-hanced CT images. The system consists of candidate detection, fea-ture computation and classification

Abstract. Acute aortic dissection is a life-threatening condition and must be diagnosed and treated promptly. For treatment planning the reliable identification of the true and false lumen is crucial. However, a fully automatic Computer Aided Diagnosis system capable to display the different lumens in an easily comprehensible and timely manner is still not available. In this paper we present a method that segments the entire aorta and then identifies the two lumens separated by the dissection membrane. The algorithm misdetected part of the membrane in only one of the 15 cases tested, where the aorta has not been significantly altered by the presence of aneurisms. 1

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criterion. We present results obtained on 3D CTA images of the carotid bifurcation. Index Terms — Generalized cylinder, tree, segmentation, CTA, vessel

This paper proposes an efficient customized level set algorithm to segment Pulmonary Artery (PA) tree in 3D pulmonary Computed Tomography Angiography (CTA) images. In this algorithm, to reduce the search area the lung regions from the original image are first segmented and the heart region

Multi-slice spiral computed tomography angiography (MS-CTA) is emerging as a clinically robust modality for di-agnosis and surgical planning for coronary heart disease. To enable these tasks the coronary arteries must be seg-mented and visualised. This paper proposes the use of an improved tracking

lavoro descritto in questa tesi è stato svolto in collaborazione con l'Unità di

Abstract. The Cherenkov Telescope Array (CTA), currently in its early design phase, is a proposed new project for ground-based gamma-ray astronomy with at least 10 times higher sensitivity than current instruments. CTA will comprise several tens of large Imaging Atmospheric Cherenkov Telescopes

Abstract: In the framework of the next generation of Cherenkov telescopes, the Cherenkov Telescope Array (CTA), NectarCAM is a camera designed for the medium size telescopes covering the central energy range of 100 GeV to 30 TeV. NectarCAM will be finely pixelated ( ∼ 1800 pixels for a 8o field