The expressive visualization of (time-dependent) 3D blood flow along with the vessel wall is essential for understanding vascular diseases. However, the high complexity of the underlying flow data makes the exploration challenging. For the biomedical research, it is necessary to provide methods that allow for rapid flow comprehension, ideally by emphasizing relevant flow characteristics. Theref...

To analyze the influence of tapered form two upper vertices a rectangular cube placed in channel and impact insertion hollow center obstacle, three-dimensional study was executed using K-ω SST turbulence model. Different models were presented to examine features flow with Reynolds number Re=4×104. The kinetic energy, 2D 3D time-averaged streamlines, trace-lines, streamwise velocity profiles, pr...

Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions streamlines that do not accurately describe the underlying anatomy; extracting are supported by diffusion signal; and under-representing some populations, among others. In this paper, we novel autoencoder-based learning method to filter from MRI tractography, hence, obtain mor...

Abstract We present a novel dehomogenization approach for the efficient design of high-resolution load-bearing structures. The proposed builds upon streamline-based parametrization domain, using set space-filling and evenly spaced streamlines in two mutually orthogonal direction fields that are obtained from homogenization-based topology optimization. Streamlines these converted into graph, whi...

The Bernoulli integral describes the energy conservation of a fluid along specific streamlines. is sum individual terms that contain plasma density, speed, temperature, and magnetic field. Typical solar wind analyses use fluctuations as criterion to identify different streamlines from single spacecraft observations. However, accurate calculation requires accurately determining polytropic index ...