The recognition and interpretation of pulsatile subject-specific blood flow is a challenging task. Animations of various quantities - such as blood flow velocity, pressure, or wall shear stress - can be depicted to vi...
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The recognition and interpretation of pulsatile subject-specific blood flow is a challenging task. Animations of various quantities - such as blood flow velocity, pressure, or wall shear stress - can be depicted to visualize the complex time-varying flowfeatures, normally in a region of interest. Traditional visualization methods however can hardly convey the dynamic information of the system. Proper orthogonal decomposition (POD), a mathematical tool, allows for the complex spatial-temporal information to be decomposed into individual spatial modes. In the present study, the most energetic blood flowfeatures are extracted with the help of POD analysis. The first mode, representing the most energetic flowfeature, characterizes the temporal mean of the flow velocity. It is considered as the primary flow. The second most energetic mode corresponds to the secondary flowfeatures. visualization techniques combining the primary and the secondary flows are suggested in the present paper in order to create a simplified visualization of the unsteady blood flow. The methods are presented for intracranial aneurysms for both measured as well as simulated data, illustrating the application for Phase-Contrast Magnetic Resonance Imaging (PC-MR') and computational fluid dynamics (CFD) results. (C) 2019 Elsevier Ltd. All rights reserved.
The visualization community is currently witnessing strong advances in topology-basedflowvisualization research. Numerous algorithms have been proposed since the introduction of this class of approaches in 1989. Yet...
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ISBN:
(纸本)9783540886051
The visualization community is currently witnessing strong advances in topology-basedflowvisualization research. Numerous algorithms have been proposed since the introduction of this class of approaches in 1989. Yet despite the many advances in the field, topology-basedflowvisualization methods have, until now, failed to penetrate industry. Application domain experts are still, in general, not using topological analysis and visualization in daily practice. We present a range of state-of-the art topology-basedflowvisualization methods such as vortex core line extraction, singularity and separatrix extraction, and periodic orbit extraction techniques, and apply them to real-world data sets. Applications include the visualization of engine simulation data such as in-cylinder flow, cooling jacket flow, as well as flow around a spinning missile. The novel application of periodic orbit extraction to the boundary surface of a cooling jacket is presented. based on our experiences, we then describe what we believe needs to be done in order to bring topological flowvisualization methods to industry-level software applications. We believe this discussion will inspire useful directions for future work.
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