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Connected Component and Morphology Based Extraction of Arterial Centerlines of the Heart (CocomoBeach)
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This document describes a novel scheme for the automated extraction of the central lumen lines of coronary arteries from computed tomography angiography (CTA) data. The scheme first obtains a seg- mentation of the whole coronary tree and subsequently [...]

Tagged Volume Rendering of the Heart: A Case Study
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This is a companion paper describing the process and parameters for tagged volume rendering of the heart. We firstly review the relevant concepts and consider the problem of visualising the coronary arteries from computed tomography angiography (CTA) images. [...]

Shape and Appearance Models for Automatic Coronary Artery Tracking
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Automatic tracking of coronary arteries in Computed Tomography Angiography (CTA) is a challenging task. To accomplish it we propose a method consisting of two main steps: (1) A 3D model of the heart is matched for detecting the approximate position of the [...]

Two Point Minimum Cost Path Approach for CTA Coronary Centerline Extraction
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In this work a minimum cost path approach is adopted to extract coronary artery centerlines from CTA data. The algorithm depends on the manual definition of the start and end point of the vessel. The cost image used in the minimal cost path approach is based [...]

An Automatic Seeding Method For Coronary Artery Segmentation and Skeletonization in CTA
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An automatic seeding method for coronary artery segmentation and skeletonization is presented. The new method includes automatic removal of the rib cage, tracing of the ascending aorta and initial planting of seeds for the coronary arteries. The automatic [...]

Coronary Centerline Extraction Using Multiple Hypothesis Tracking and Minimal Paths
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This paper describes an interactive approach to the identification of coronary arteries in 3D angiography images. The approach is based on a novel multiple hypothesis tracking methodology which is complemented with a standard minimal path search, and it [...]


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ISSN 2327-770X
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