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Renogram values represented as percentage of injected dose [%ID] were obtained by the division of the background corrected kidney ROI by the injection site corrected whole body ROI. Figure 1 Image files.
Integration of this "corrected" whole body retention function yielded the corrected whole body residence time.
The corrected nuclear intensity was then divided by the corrected whole cell intensity to give a nuclear-to-cell intensity ratio.
The parameters (fraction and associated biological removal half-time) of the corrected whole body time activity curve were used as input data for the dynamic (urinary) bladder model.
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Open image in new window Fig. 3 Maximum intensity projections of native (left) and corrected whole-body PET (right), demonstrating elevated tracer uptake levels in the rectum, the sigmoid colon, as well as the ascending and descending colon.
50 Positive features of this study include the use of permutation cluster analysis to maximise power while facilitating corrected whole-brain analysis, and the inclusion of patients who were untreated for at least 6 months prior to scanning.
For example, using an ROI analysis, we have identified similar patterns of limb over-representation in the deprived cerebellum, which were not apparent in the (corrected) whole-brain comparison.
Significant clusters were derived using 3dClustSim and the intrinsic smoothness of the data to define corrected whole-brain cluster thresholds as those having a voxel level p = 0.05, cluster volume 1659 voxels, volume >120 mm, and family wise error corrected p = 0.05.
In addition to this corrected whole-brain comparison, we also conducted region of interest (ROI) analyses for a brain area that was of particular interest a priori [in particular, for the STS region highlighted by Noesselt et al., 2007; see below].
Significant clusters were derived using 3dClustSim and the intrinsic smoothness of the data to define corrected whole-brain cluster thresholds as those having a voxel level p = 0.05, cluster volume 1659 voxels, volume >120 mm, and family wise error corrected (FWE) p = 0.05.
Bloocoo yields similar results while requiring far less memory: for example, it can correct whole human genome re-sequencing reads at 70× coverage with <4 GB of memory (see Supplementary file 1 for extra information on Bloocoo).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com