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EJNMMI Research

Table 2 Smoothness gradients

From: Characterisation of a novel [18F]FDG brain PET database and combination with a second database for optimising detection of focal abnormalities, using focal cortical dysplasia as an example

Gaussian filter used

Gradient (mean ± SD)

Coefficient of variation (%)

Marseille database

  

No filter

21.4 ± 3.1

14.5

8 × 8 × 8 mm

15.9 ± 1.5

9.4

iDB-MRXFDG

  

No filter

22.2 ± 4.0

18.0

8 × 8 × 8 mm

17.2 ± 2.5

14.5

10 × 10 × 10 mm

15.0 ± 2.1

14.0

  1. A summary of the gradients calculated to assess to smoothness of the normalised and/or smoothed databases. Optimised smoothing level retained highlighted in bold
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