Sentence examples for in a volume data from inspiring English sources

Exact(4)

(b) Voxel samples at a 3D grid in a volume data, which is obtained through a simulation of the probability distribution of a nucleon in the atomic nucleus 16O[18].

An isosurface can be defined as a set of points that have the same value (called isovalue) in a volume data, that is, ({ langle ! x,y,z ! rangle, in mathfrak R ^3 : f x,y,z) = h}), for a grid position ((x,y,z)) and some isovalue (h in mathfrak R ).

To visualize the benefit, each acquired B-scan in a volume data set was integrated over depth to create an en face image.

For instance, if a structure is annotated in a volume data set, the annotation loses its meaning when the transfer function, the viewing angle or other parameters change in such a way that the structure in question is no longer visible.

Similar(56)

Axial images were reconstructed with a slice thickness of 0.5 0.625 mm in 0.4 mm increment resulting in isotropic volume data with a voxel size ranging from 0.4 × 0.4 × 0.4 to 0.6 × 0.6 × 0.6 mm.

The information was recorded in a manner established in advance with volume data, volume drained, medical procedure, gender, age, reason for admission, and duration of time with indwelling bladder catheter all evaluated.

In both cases, the resulting difference maps have lower values for basic and advanced correction, again indicating a higher consistency in the volume data and the derived segmentation maps.

In the same session, a high-resolution three-dimensional inversion recovery prepared spoiled gradient recalled acquisition in a steady state volume data set was acquired with TE = 5.3 msec, inversion time = 300 msec, TR = 12.2 msec, in-plane resolution =.94 mm, and slice thickness = 1.5 mm.

The construction takes (O(n log n)) time, where n is the total number of cells in the volume data, and demands a storage space of (O(n)).

Get yourself a high volume data recovery drive, In short a huge USB flash drive.

Experiment results show that at the same bit rate the G2LA has not only the quickly convergence time but also high quality reconstructed image than traditional GLA technique with Euclidean distance measure, especially in high dimension and a large volume data system.

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