Feature-sensitive subdivision and isosurface reconstruction

Three-dimensional Visualization of Cosmological and Galaxy Formation Simulations

Proceedings of the International Astronomical Union ◽

10.1017/s1743921311022915 ◽

2010 ◽

Vol 6 (S277) ◽

pp. 263-266

Author(s):

Bruno Thooris ◽

Daniel Pomarède

Keyword(s):

Galaxy Formation ◽

Adaptive Mesh Refinement ◽

Large Scale ◽

Multiple Scales ◽

Three Dimensional ◽

Adaptive Mesh ◽

Ray Casting ◽

Parallel Simulations ◽

The Galaxy ◽

Isosurface Reconstruction

AbstractOur understanding of the structuring of the Universe from large-scale cosmological structures down to the formation of galaxies now largely benefits from numerical simulations. The RAMSES code, relying on the Adaptive Mesh Refinement technique, is used to perform massively parallel simulations at multiple scales. The interactive, immersive, three-dimensional visualization of such complex simulations is a challenge that is addressed using the SDvision software package. Several rendering techniques are available, including ray-casting and isosurface reconstruction, to explore the simulated volumes at various resolution levels and construct temporal sequences. These techniques are illustrated in the context of different classes of simulations. We first report on the visualization of the HORIZON Galaxy Formation Simulation at MareNostrum, a cosmological simulation with detailed physics at work in the galaxy formation process. We then carry on in the context of an intermediate zoom simulation leading to the formation of a Milky-Way like galaxy. Finally, we present a variety of simulations of interacting galaxies, including a case-study of the Antennae Galaxies interaction.

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Reconstruction of Three-Dimensional Geometry of the Vessels by Computed Tomography Data

Vestnik NSU Series Information Technologies ◽

10.25205/1818-7900-2019-17-3-5-17 ◽

2019 ◽

Vol 17 (3) ◽

pp. 5-17

Author(s):

V. V. Borisenko ◽

N. S. Serova ◽

A. M. Chepovskiy

Keyword(s):

Three Dimensional ◽

Internal Surface ◽

Region Growing ◽

Reconstruction Algorithm ◽

Tetrahedral Mesh ◽

Second Stage ◽

Seeded Region Growing ◽

3D Space ◽

Voxel Model ◽

Isosurface Reconstruction

We consider algorithms of 3D reconstruction for the internal surface of cardiac vessels. The precise reconstruction of vessel geometry is necessary for the creating a hydrodynamic model of blood supply for the heart and computing various parameters of blood flow. To compute a triangulation of blood vessel walls, we use the combination of two methods. At the first stage we apply the 3D seeded region growing algorithm to reconstruct a set of voxels inside vessels. At the second stage we use the isosurface reconstruction algorithm based on the tessellation of 3D space into small tetrahedral cells. We use the tetrahedral mesh, which was proposed in the works of S. Chan, E. Purisima (1998), and V. Skala (2000). Tetrahedra in this mesh are constructed on common faces of adjacent cubes in a cubic lattice, so it fits well with the voxel model. The mesh is constructed only in the neighborhood of the border of voxel set obtained at the first stage as the result of seeded region growing algorithms.

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