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Figure 3 | EJNMMI Research

Figure 3

From: Comparison of heterogeneity quantification algorithms for brain SPECT perfusion images

Figure 3

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.

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