Table 1. Statistical analysis of the texture features computed from 43 (15 normal and 28 apoE−/−) ultrasound images of mice common carotid arteries.
| Normal(n = 15) | ApoE−/−(n = 28) | p value | FDRcorrection | |
| First-Order Statistics (FOS) | ||||
| AGL | 197.8±13.4 | 136.9±25.8 | 0.0001 | √ |
| SD | 22.42±3.78 | 25.98±4.35 | 0.009 | √ |
| Fractal Dimension Texture Analysis | ||||
| Df | 2.022±0.067 | 1.996±0.029 | 0.169 | NS |
| Spatial Gray-Level Dependence Matrix(SGLDM) | ||||
| CON | 7.05±2.05 | 9.87±3.67 | 0.013 | √ |
| COR | 0.89±0.039 | 0.904±0.028 | 0.228 | NS |
| ENE | 0.031±0.008 | 0.019±0.0048 | 0.0001 | √ |
| HOM | 0.512±0.049 | 0.493±0.034 | 0.196 | NS |
| ENT | 1.347±0.065 | 1.437±0.058 | 0.0001 | √ |
| Gray Level Difference Statistics (GLDS) | ||||
| CON1 | 22.6±13.4 | 25.56±9.66 | 0.458 | NS |
| ASM | 0.171±0.043 | 0.138±0.026 | 0.015 | √ |
| ENT1 | 0.879±0.121 | 0.943±0.087 | 0.087 | NS |
| MEAN | 0.0142±0.003 | 0.016±0.0028 | 0.102 | NS |
| Neighborhood Gray Tone Difference Matrix(NGTDM) | ||||
| COA | 6.88±2.03 | 10.65±3.16 | 0.0001 | √ |
| CON2 | 0.455±0.13 | 0.623±0.304 | 0.057 | NS |
| BUS | 1.97±0.828e-5 | 1.39±0.66e-5 | 0.027 | √ |
| COM | 6386±2395 | 9565±3667 | 0.001 | √ |
| STR | 16571±8246 | 36144±19340 | 0.0001 | √ |
| Statistical Feature Matrix(SFM) | ||||
| CON3 | 1.176±0.107 | 1.202±0.116 | 0.477 | NS |
| COV | 0.74±0.067 | 0.86±0.102 | 0.0001 | √ |
For each feature the mean and standard deviation were computed.
All features significant (p<0.05) after false discovery rate correction for multiple comparisons over all texture features.