Research Article
Quantitative Radiomics: Impact of Pulse Sequence Parameter Selection on MRI-Based Textural Features of the Brain
Table 1
MRI radiomic textural features being examined.
| | Category | Feature |
| | Based on gray-level intensity histogram (GLIH) | Variance | | Skewness | | Kurtosis |
| | Based on gray-level cooccurrence matrix (GLCOM) | Contrast | | Correlation | | Dissimilarity | | Energy | | Entropy | | Homogeneity | | SumAverage | | Variance |
| | Based on gray-level zone size matrix (GLZSM) | Short zones emphasis (SZE) | | Large zones emphasis (LZE) | | Low gray-level zones emphasis (LGZE) | | High gray-level zones emphasis (HGZE) | | Short zones low gray-level emphasis (SZLGE) | | Short zones high gray-level emphasis (SZHGE) | | Large zones low gray-level emphasis (LZLGE) | | Large zones high gray-level emphasis (LZHGE) | | Gray-level nonuniformity (GLN) | | Zone size nonuniformity (ZSN) | | Zone size variance (ZSV) | | Gray-level variance (GLV) | | Zone percentage (ZP) |
| | Based on gray-level neighbourhood difference matrix (GLNDM) | Coarseness | | Contrast | | Busyness | | Complexity | | Strength |
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