From: Texture analysis on MR images helps predicting non-response to NAC in breast cancer
Parameter type | Parameter description | |
---|---|---|
Kinetic | Â | |
 1 | Wash-in rate | Rate of contrast material uptake |
 2 | Maximal amplitude | Maximal contrast enhancement |
 3 | Wash-out rate | Rate of contrast enhancement washout |
Geometric (according to BI-RADS lexicon) | ||
 4 | Mass | 3D space-occupying lesion that comprises one process, |
 |  | usually round, oval, lobular or irregular in shape |
 5 | non Mass | Enhancement of an area that is not a mass |
Texture | Â | |
 6a | Energy | Measure of local uniformity of grey levels |
 7a | Entropy | Measure of randomness of grey levels |
 8a | Contrast | Measure of the amount of grey levels variations |
 9a | Homogeneity | Measure of local homogeneity. It increases with less contrast |
 10a | Correlation | Measure of linear dependency of grey levels of neighbouring pixels |
 11a | Inverse difference moment | Measure of local homogeneity of the grey levels |
 12a | Sum average | Measure of overall image brightness |
 13a | Sum variance | Measure of how spread out the sum of the grey levels of voxel pair is |
 14a | Difference in variance | Measure of variation in the difference in gray levels between voxel pairs |
 15b | SRE | Short Run Emphasis (first property of run-length distribution) |
 16b | LRE | Long Run Emphasis |
 17b | GLN | Gray-Level Nonuniformity |
 18b | RLN | Run-Length Nonuniformity |
 19b | RP | Run percentage |
 20b | LGRE | Low Gray-Level Run Emphasis |
 21b | HGRE | High Gray-Level Run Emphasis |
 22b | SRLGE | Short Run Low Gray-Level Emphasis |
 23b | SRHGE | Short Run High Gray-Level Emphasis |
 24b | LRLGE | Long Run Low Gray-Level Emphasis |
 25b | LRHGE | Long Run High Gray-Level Emphasis |