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We developed a novel numerical observer with signal variability to assess feature discrimination and compare the classification performance of carotid plaque using multi-energy, dual-energy, and conventional CT images. Our numerical observer was performed in two processing steps. First, a preprocessing step accounted for each spectral image bin using Channelized Hotelling Observer with a set of Laguerre-Gaussian...
In this paper, a framework for the inflation of micro-CT data using intravascular ultrasound (IVUS) images, is presented. The proposed methodology consists of four steps. In the first step a centerline is extracted from the micro-CT images. In the second step the micro CT images are segmented automatically using the k-means algorithm. In the third step IVUS- micro-CT images are co-registered based...
In this study, we use the Computational Fluid Dynamics (CFD) Aortic Geometry Extraction Techniques to study the blood flow through the human aortic arch geometry, which is constructed from a set of CT images. The CFD simulation uses the commercial ANSYS 13 based on a finite volume method for solving the Navier-Stokes equations. The simulation is conducted to understand the flow characteristics in...
In this paper, we present a visualization system for the visual analysis of PET/CT scans of aortic arches of mice. The system has been designed in close collaboration between researchers from the areas of visualization and molecular imaging with the objective to get deeper insights into the structural and molecular processes which take place during plaque development. Understanding the development...
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