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The intra- and extra-thoracic tumors were automatically delineated on the original PET using a 41% of maximum standardized uptake value (SUVmax) adaptive threshold.
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The hippocampus was automatically delineated based on an algorithm that uses a probabilistic atlas and examines variations in voxel intensities and spatial relationships to classify subcortical regions on MRI scans [39].
The watershed boundary of the study area was automatically delineated using SRTM data which are freely available on the website (http://glcf.umd.edu).edu
The tumour was then automatically delineated using a 42% SUVmax threshold, and this delineation was used to assess the tumour volume [15].
The WML edges were then automatically delineated by a region-growing algorithm from seeds placed manually on the lesions and set at the intensity range: min = calculated threshold, max = maximum intensity.
CBF values for the various automatically delineated regions using NLR analyses are given in Table 1.
Moreover, the automatically delineated ROI volumes were compared with the true volumes.
This software automatically delineated regions of interest (ROIs) in five image planes (Fig. 1).
Time-activity curves (TACs) were generated for automatically delineated and for manually drawn gray matter (GM) and white matter regions.
In addition, CBF and K i values for automatically delineated regions were compared with manually drawn regions of interest and literature values.
This high accuracy is achieved by computing a local background for each voxel within a spill-out shell around the automatically delineated ROI.
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