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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