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The acquired counts are stated prior to randoms correction and for scans with hardware components attached.
For scans with warm background, the accuracy of quantification was compared for the three segmentation methods: 1.
The PET data obtained using list-mode were reconstructed for scans with 90, 120, and 150 s/bed position.
For scans with uptake in the liver, line profiles were manually placed to characterize the lung/liver boundary.
For scans with activity added to the phantom's background, all three segmentation methods (40% fixed threshold, CT-based, and our IADT method) underestimated the activity in the inserts.
For scans with uptake in the kidneys, 0.016-cc (33 voxels) spherical VOIs were placed at each kidney centered on the maximum-intensity pixel of an additionally smoothed image (Gaussian smoothing kernel, FWHM = 0.5 cm3).
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All precision values for scans with-and without repositioning were considered to be an indication of good reliability.
On these images, the tissue sections were outlined for scanning with a 20x high power magnification objective.
Upon completion, the gel was stained in Coomassie Blue staining solution until a clear background was obtained for scanning with GS-800 calibrated densitometer (Bio-Rad, USA).
For scans performed with cold water background (no activity), the reconstructions with TEW scatter correction underestimated the activity in small objects and overestimated it in large objects.
After normalization, these values were 0.5 (IQR 0.2, 1.9; range 0, 52.6) for scans reconstructed with the STANDARD kernel and 0.4 (IQR 0.1, 1.7; range 0.0, 50.9) for scans reconstructed with the BONE kernel.
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CEO of Professional Science Editing for Scientists @ prosciediting.com