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This visualization is also known as Spatial Data visualization, which focuses on the visualization of volumes and surfaces.
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The 3D viewer enables visualization of volume data, such as volume renderings, triangulated surface models and fiber tracts.
Despite the potential benefits of CR compared to VR in the visualization of volume datasets, there is a higher computational power demand required for the CR technique because of the more complex lighting model.
Here we describe the use of amira™, a professional software package for 3D visualization of volume data sets that utilizes hardware accelerated OpenGL 3D graphics with texture mapping.
In medical area, interactive three-dimensional volume visualization of large volume datasets is a challenging task.
This enables the visualization of large volumes of tissue.
The visualization of large volumes of data is a computationally challenging task that often promises rewarding new insights.
The occlusal-apical dimension of the cusp tip volume measures only 1.2 mm, thus providing an approximate clinical interpretation and visualization of the volume differences.
A quasi-interpolation method for quadratic piecewise polynomials in three variables is described which can be used for the efficient reconstruction and visualization of gridded volume data.
However, the flexibility of voxel-based geometry representation enables one to use this technique for both 3D geometric design and visualization of unstructured volume data.
Nearly real-time visualization of 3D volume at a rate of 7.2 rendered volumes/second (512(axial) × 80 × 380 lateral) voxels) was demonstrated by Probst et al. with a linear- k spectrometer coupled to a surgical microscope [ 32].
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