CE-MRI

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism

Notes:

• scrs/config.py : Dataset and training configurations.
• scrs/attention_module.py : Detailed information on parameter attention.
• scrs/fusion_module.py : Detailed information on fusion methods.
• scrs/train.py ：Train the network.

Model details

• Flowchart

• Hierarchical fusion module

Visualization

Citation

If this work is helpful for you, please cite our paper as follows:

Zhang, T. et al. Synthesis of Contrast-Enhanced Breast MRI Using T1-and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. In International Conference on Medical Image Computing and Computer-Assisted Intervention. 2023: 79-88.

DOI

Contact details

If you have any questions please contact us.

Email: ritse.mann@radboudumc.nl (Ritse Mann); taotanjs@gmail.com (Tao Tan); t.zhang@nki.nl (Tianyu Zhang)

Links: Netherlands Cancer Institute, Radboud University Medical Center and Maastricht University