Figure 3From: Comparison of heterogeneity quantification algorithms for brain SPECT perfusion images Diffuse heterogeneity discrimination power and perfusion defect levels. (A) For each heterogeneity level, the GLCM contrast parameter results are plotted as a function of the perfusion defect levels, leading to seven regression lines (0.7 < R2 <0.9). (B) For each perfusion defect, the GLCM contrast parameter results are plotted as a function of the heterogeneity levels, leading to six regression lines (0.7 < R2 < 0.9). (C) Box and whiskers (min - max) representation is shown. The mean slope (absolute value) is 1.22, which corresponds to a poor perfusion defect discrimination power (DDP). (D) The mean slope (absolute value) is 58.48, which corresponds to a relatively good HDP.Back to article page