Table 5 A list features to be used for lesion-free outcome prediction

I. Fiber tract features

I.1. Histogram analysis (0, 25, 50, 75 and 100-percentile) of T1, T2, DWI, ADC, Z_T1, Z_T2, Z_DWI, Z_ADC signal values within each of the 28 major fiber bundles as defined in the JHU atlas [123]

I.2. Skewness (asymmetry), kurtosis (flatness), uniformity and randomness (entropy and standard deviations) of T1, T2, DWI, ADC, Z_T1, Z_T2, Z_DWI, Z_ADC signal values in each brain structures

II. Regional anatomy features

II.1. Histogram analysis (0, 25, 50, 75 and 100-percentile) of T1, T2, DWI, ADC, Z_T1, Z_T2, Z_DWI, Z_ADC signal values within the brain and each of the 61 auto-segmented brain structures/regions

II.2. Skewness (asymmetry), kurtosis (flatness), uniformity and randomness (entropy) of T1, T2, DWI, ADC, Z_T1, Z_T2, Z_DWI, Z_ADC signal values in the brain and 61 auto-segmented regions

II.3. Volume of the 61 auto-segmented structures/regions as measured in T1 image

II.4. Left/right asymmetry in features II.1–II.3