Contrast-Enhanced Liver Magnetic Resonance Image Synthesis Using Gradient Regularized Multi-Modal Multi-Discrimination Sparse Attention Fusion GAN.
Changzhe JiaoDiane LingShelly BianApril VassantachartKaren ChengShahil MehtaDerrick LockZhenyu ZhuMary FengHoratio ThomasJessica E ScholeyKe ShengZhaoyang FanWensha YangPublished in: Cancers (2023)
We demonstrated the function of a novel multi-modal MR image synthesis neural network GRMM-GAN for T1ce MR synthesis based on pre-contrast T1 and T2 MR images. GRMM-GAN shows promise for avoiding repeated contrast injections during radiation therapy treatment.
Keyphrases
- contrast enhanced
- magnetic resonance
- diffusion weighted
- neural network
- magnetic resonance imaging
- deep learning
- computed tomography
- radiation therapy
- diffusion weighted imaging
- convolutional neural network
- light emitting
- squamous cell carcinoma
- locally advanced
- combination therapy
- rectal cancer
- platelet rich plasma