| 摘要 |
To perform tumor grading by magnetic resonance (MR) imaging, an apparent diffusion co-efficient (ADC) map (16) is acquired, and a region of interest (ROI) (32) corresponding to a tumor is identified in the ADC map. A heterogeneity map (60) corresponding to the ROI is generated by computing a contrast measure for each pixel of the ROI. A histogram of the computed contrast measures over the heterogeneity map is constructed and, based on a kurtosis metric of the histogram, the tumor is graded. In some embodiments the heterogeneity map is generated based on co-occurrence matrices (44) with different offsets generated for sub-matrices (40) spanning the ROI. In other embodiments the heterogeneity map is generated by computing texture features for sub-matrices spanning in the ROI. The pixels of the heterogeneity map are suitably contrast measures computed using the co-occurrence matrices or texture features. |
