Multiparametric mapping in the brain from conventional contrast-weighted images using deep learning.
Shihan QiuYuhua ChenSen MaZhaoyang FanFranklin G MoserMarcel M MayaAnthony G ChristodoulouYibin XieDebiao LiPublished in: Magnetic resonance in medicine (2021)
A deep-learning-based technique was developed to estimate T1 and T2 maps from conventional contrast-weighted images in the brain, enabling simultaneous qualitative and quantitative MRI without modifying clinical protocols.
Keyphrases
- deep learning
- contrast enhanced
- magnetic resonance
- convolutional neural network
- magnetic resonance imaging
- artificial intelligence
- resting state
- white matter
- computed tomography
- machine learning
- high resolution
- diffusion weighted imaging
- functional connectivity
- network analysis
- multiple sclerosis
- brain injury
- mass spectrometry