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. Author manuscript; available in PMC: 2015 Nov 20.
Published in final edited form as: Neurocomputing (Amst). 2014 Nov 20;144:13–23. doi: 10.1016/j.neucom.2014.03.065

Table 3.

Top 20 T2w and ADC features, ranked in descending order based on S(ρ), i.e. showing a high change within CaP (ablated) regions and a low change within normal regions.

Rank T2w feature ADC feature
1 Gabor θ=0, λ=11.31 Gabor θ=1.18, λ=45.25
2 Gabor θ=2.36, λ=45.25 Sobel XZ
3 Gabor θ=2.36, λ=8.20 Z Gradient
4 Gabor θ=0, λ=45.25 Haralick Energy
5 Gabor θ=0, λ=8.20 Sobel Z
6 Gabor θ=1.96, λ=11.31 Sobel ZY
7 Haralick Sum Average Gabor θ=2.75, λ=8.20
8 Gabor θ=0, λ=5.65 Gabor θ=1.18, λ=22.63
9 Gabor θ=2.75, λ=45.25 Sobel Y
10 Sobel Y Gabor θ=2.75, λ=11.31
11 Gabor θ=2.36, λ=22.63 Gabor θ=0, λ=22.63
12 Gabor θ=2.36, λ=5.65 Gabor θ=0.39, λ=22.63
13 Gabor θ=1.57, λ=5.65 Sobel ZX
14 Gabor θ=2.36, λ=11.31 Gabor θ=1.96, λ=45.25
15 Sobel YX ADC value
16 YGradient Sobel X
17 Haralick Difference Entropy Sobel YZ
18 Gabor θ=1.96, λ=8.20 Gabor θ=2.75, λ=45.25
19 Gabor θ=2.75, λ=11.31 Sobel YX
20 Gabor θ=1.57, λ=22.63 Gabor θ=2.75, λ=5.65