Table 2 Segmentation results of IMT images on BraTs2015 evaluated by FCN-score. The gap between translated images and the real images can evaluate the generation performance of our method. Note that “all” represents mean accuracy of all pixels (the meanings of “all” are the same in the following tables). We achieve close segmentation results between translated-modality images and target-modality images.

From: MRI Cross-Modality Image-to-Image Translation

Method

Accuracy

Dice

all

tumor

tumor

T1  →  T2

0.955

0.716

0.757

T2 (real)

0.965

0.689

0.724

T2  →  T1

0.958

0.663

0.762

T1 (real)

0.972

0.750

0.787

T1  →  T2-Flair

0.945

0.729

0.767

T2  →  T2-Flair

0.966

0.816

0.830

T2-Flair (real)

0.986

0.876

0.899