Sentence examples for large volumetric data from inspiring English sources

Multiresolution methods are often needed for the interactive visualization of large volumetric data sets.

The ability to analyze large volumetric data sets accurately, efficiently, and in true 3D has been a major bottleneck in deriving robust relationships between altered neuronal function and changes in spine morphology.

The necessity to analyze large volumetric data sets accurately, efficiently, and in true 3D has been a major bottleneck in deriving reliable relationships between altered neuronal function and changes in spine morphology.

A typical scan takes less than 10 seconds and produces a large volumetric data set constitutes of a stack of high resolution cross-sectional tomograms (B-scans).

Since large scale volumetric data stacks largely differ from data obtained with CLSM [ 17] 3D in vitro data of biofilm on implant surfaces acquired with SLOT may be investigated in terms of migration velocity, surface coverage ratios, biofilm mass distribution, detachment, porosity and density in future works.

System prototype evaluation proved that it is possible to use low-powered (and cheap) up-to-date mobile devices with programmable GPUs as the remote interfaces for exploration of large volumetric medical data.

In this paper, we present a hybrid architecture for the visualization and processing of large-scale volumetric data.

We present a scalable, commodity-based, parallel rendering system for interactive visualization of large polygonal and volumetric data models.

The manual effort needed, however, is excessive, as the neurobiologist has to manually track individual axons from a large set of data (∼30 50 GB of volumetric data).

Once the image acquisition was complete, the volumetric data was reconfigured to generate large-area en face confocal images at the different depth levels.

The growth of spacious PVs was accessed in terms of volumetric data in that remodeling restores PV dimensions after these large structures fuse together [ 48].