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Table 2 Correlation analysis between the T1-weighted MR image-based features, T2-weighted MR image-based features and multi-level fusion-based features

From: PET/MR fusion texture analysis for the clinical outcome prediction in soft-tissue sarcoma

Class T1 image T2 image
PET image 6 8
Matrix-level fusion 81 72
Feature-level fusion 68 71
Image-level fusion (0.1) 10 8
Image-level fusion (0.2) 11 8
Image-level fusion (0.3) 11 11
Image-level fusion (0.4) 11 14
Image-level fusion (0.5) 13 21
Image-level fusion (0.6) 14 56
Image-level fusion (0.7) 15 70
Image-level fusion (0.8) 48 76
Image-level fusion (0.9) 64 87
  1. For the class column, the number in the parentheses indicated the fusion weight of the MR images. The “matrix-level fusion” indicated the T1/PET matrix fusion-based features for the correlation analysis with T1-weighted MR-based features, and the T2/PET matrix fusion-based features for the correlation analysis with T2-weighted MR-based features. The “feature-level fusion” indicated the feature average method based fusion