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First, the method was tested by reconstructing simulated data.
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The purpose of reconstructing simulated data is to isolate any causes of inaccuracy to either the forward projector or back projector.
As a numerical test, we reconstructed simulated data by projecting a discrete 3-D volume with binary intensities at the same tilt angles as the experimental data: a maximum tilt range of ± 70 °in 2°-angle increments.
Two typical heat source profiles are reconstructed using simulated data to demonstrate the presented methodologies.
In order reconstruct the simulated data, with STIR, we had to calculate system probability matrix which corresponds to this non standard geometry.
Moreover, for each isotope and each phantom configuration, the images were reconstructed from the simulated data corresponding to the primary photons only.
Power was estimated by generating simulated data, then using the simulated data to try to estimate the original model parameters.
Reconstructions of simulated data clearly indicate, that only the correct kernel should be used to reconstruct the data.
Performance of ASM detection was assessed by simulated data.
To assess the ability of a method to reconstruct a known structure from simulated data, or the stability of the reconstructed structure with respect to change in resolution or library preparation, we need quantitative measures of similarity between 3D structures.
To reconstruct the recombination maps of simulated data, we ran LDhelmet using a block penalty of 50 for 250,000 iterations after 50,000 iterations of burn-in (supplementary fig. S13, Supplementary Material online).
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