The combined use of diffusion-weighted and 11C-Choline PET images can provide complementary information on prostate cancer. However, it is still unknown how to combine these multiple parameters to give a simple indication for malignant lesions. Based on a scatterplot analysis of standardized uptake values (SUVs) and apparent diffusion coefficient (ADC) values, we clustered voxels into groups corresponding to different tissue types. The proposed method shows promising results in differentiating the lesion of tumor from normal tissue.
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