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We have run 100 iterations, using a reconstruction volume of (1024^3) voxels, with the Sobolev term weighted with three different weights: (lambda = 0), 10 and 100.
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For all computational experiments, we used a cubic reconstruction volume of size (N^3), with N projections with a square detector of size (N^2).
Images were also reconstructed using a partial volume corrected ordered subset expectation maximization [PVC OSEM] reconstruction algorithm, a previously described and validated method that results in improved image resolution, thereby reducing partial volume effects [PVEs] [30 32].
The aim of this study was to investigate the developmental relationship between adenoid tissue volume and mastoid air cell volume, using a 3D reconstruction technique.
We therefore calculated a 3D EM reconstruction, using a low-pass filtered volume of the previously published Drosophila ORC EM structure as an initial starting model.
Acquisition time was approximately 30 min. The CT and SPECT reconstruction was performed using InVivoScope 1.37 software (Bioscan) and images were quantified using a volume-of-interest (VOI) approach.
By using an exhaustive reconstruction of the micro-vascular network in an 18 mm3 volume of marmoset cerebral cortex, we numerically computed the blood flow in each blood vessel.
First, materials are located in multi-material computational cells using a piecewise linear reconstruction of the volume fraction function.
The reconstructions are then performed using a 3D Algebraic Reconstruction Technique (ART) algorithm.
It simulates the compressible Navier Stokes equations using a cell-centered finite-volume method with polynomial reconstruction on unstructured hybrid meshes.
Based on scanning electron microscopy and 3-D volume reconstruction using a dual-beam system, it was shown that the initially cuboidal microstructure first elongates along the cubic axis perpendicular to the tensile axis, and then coalesces along the two other cubic directions.
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