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Catastrophes in Japan, as elsewhere, have always given rise to phantom information.
The phantom information was introduced by computerized tomography obtained with the PQ2000 CT scanner.
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Linear regression analysis was performed on the phantom data to provide information about the linearity between the two software packages over a range of LVEF values.
Each phantom contains information on integral fluorescence intensity and MaxPixel (the brightest pixel within the phantom).
Only phantoms including information about underlying tissue were used for further analysis (Additional file 1, Figure S3).
So, the use of this custom-made phantom provided essential information for beta cell quantification.
We demonstrate below using simulations and phantom measurements that the information content ΔS/So is also sufficient to yield information about the depth and thickness of absorbing lesions.
The measurement of true RSA accuracy requires data from phantom studies and although this information is important, it is not as clinically relevant as precision data from double examinations, which define the true clinical accuracy.
In the first hop, S transmits information to (phantom {dot {i}!}mathsf {R}_{k^), where the subscript k ∗ indicates the aiding relay that is chosen in the relay selection process, which will be detailed next.
Here we focus on results from intact/dominant hand and residual/nondominant elbow movements (see Makin et al., 2013) for information about phantom movements).
Based on the axisymmetry of the test phantoms, the single-projection information was used to calculate radial attenuation distributions of the object, which was compared with the known geometry.
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