Table 4.
Mean relative changes and intraclass correlation coefficients are reported for all the textural features and both the 2D and 3D ROI sets
2D ROI | 3D ROI | ||||
---|---|---|---|---|---|
Relative change | ICC | Relative change | ICC | ||
GLRLM | GLNU | 16% | 0.34 | 21% | 0.20 |
HGLRE | 7% | 0.95 | 8% | 0.69 | |
LRE | 5% | 0.99 | 4% | 0.99 | |
LRHGLE | 8% | 0.98 | 7% | 0.99 | |
LRLGLE | 8% | 0.99 | 9% | 0.96 | |
LGLRE | 7% | 0.93 | 9% | 0.46 | |
RLNU | 6% | 0.99 | 5% | 0.99 | |
Run percentage | 2% | 0.99 | 2% | 0.99 | |
SRE | 3% | 0.98 | 2% | 0.99 | |
SRHGLE | 7% | 0.96 | 9% | 0.83 | |
SRLGLE | 10% | 0.73 | 9% | 0.61 | |
GLCM | AutoCorrelation | 7% | 0.70 | 7% | 0.74 |
Cluster prominence | 418% | 0.06 | 641% | 0.08 | |
ClusterShade | 752% | 0.13 | 1567% | 0.06 | |
Cluster tendency | 100% | 0.20 | 116% | 0.20 | |
Contrast | 13% | 0.95 | 22% | 0.89 | |
Correlation | 30% | 0.49 | 57% | 0.35 | |
Difference entropy | 3% | 0.96 | 6% | 0.90 | |
Dissimilarity | 5% | 0.97 | 9% | 0.93 | |
Energy | 23% | 0.77 | 25% | 0.64 | |
Entropy | 10% | 0.76 | 11% | 0.66 | |
Homogeneity | 1% | 0.98 | 2% | 0.96 | |
Homogeneity2 | 2% | 0.98 | 3% | 0.95 | |
InformationMeasureCorrel1 | 65% | 0.62 | 136% | 0.48 | |
InformationMeasureCorrel2 | 22% | 0.49 | 46% | 0.35 | |
InverseDifferMomentNormal | 0% | 0.95 | 0% | 0.89 | |
InverseDifferNormal | 0% | 0.97 | 0% | 0.94 | |
InverseVariance | 1% | 0.96 | 2% | 0.88 | |
MaxProbability | 19% | 0.82 | 21% | 0.74 | |
SumAverage | 3% | 0.73 | 3% | 0.76 | |
SumEntropy | 12% | 0.45 | 14% | 0.34 | |
SumVariance | 6% | 0.80 | 6% | 0.84 |
Bold text is used for features found robust against inter-reader variability (ICC > 0.90 and mean relative change < 10%)
2D Two dimensional, 3D Three dimensional, GLCM Grey level co-occurrence matrix, GLNU Grey level non-uniformity, GLRLM Grey level run length matrix, HGLRE High grey level run emphasis, ICC Intraclass correlation coefficient, LGLRE Low grey level run emphasis, LRE Long run emphasis, LRHGLE Long run high grey level emphasis, LRLGLE Long run low grey level emphasis, RLNU Run length non-uniformity, SRE Short run emphasis, SRHGLE Short run high grey level emphasis, SRLGLE Short run low grey level emphasis.