Disentangle and Then Fuse: A Cross-Modal Network for Synthesizing Gadolinium-Enhanced Brain MR Images

The PyTorch implements of Disentangle and Then Fuse: A Cross-Modal Network for Synthesizing Gadolinium-Enhanced Brain MR Images.

The overview of our DTF-Net framework.

Our method can synthesize clear and natural images, especially local lesion regions, and outperforms other state-of-the-art methods on many datasets.

Experimental results on (a)BraTS2020 (b)BraTS2021 (c)private HPPH dataset.

Datasets

Download the datasets from the official way and rearrange the files to the following structure. The dataset path can be modified in the DTF-Net/options/*.yaml file.

BraTS2020

MICCAI_BraTS2020_TrainingData
├── flair
│   ├── BraTS20_Training_001_flair.nii.gz
│   ├── BraTS20_Training_002_flair.nii.gz
│   ├── BraTS20_Training_003_flair.nii.gz
│   ├── ...
├── t2
│   ├── BraTS20_Training_001_t2.nii.gz
│   ├── BraTS20_Training_002_t2.nii.gz
│   ├── BraTS20_Training_003_t2.nii.gz
│   ├── ...
├── t1
│   ├── BraTS20_Training_001_t1.nii.gz
│   ├── BraTS20_Training_002_t1.nii.gz
│   ├── BraTS20_Training_003_t1.nii.gz
│   ├── ...
├── t1ce
│   ├── BraTS20_Training_001_t1ce.nii.gz
│   ├── BraTS20_Training_002_t1ce.nii.gz
│   ├── BraTS20_Training_003_t1ce.nii.gz
│   ├── ...