Quantification of intravoxel incoherent motion with optimized b-values using deep neural network.
Wonil LeeByungjai KimHyun Wook ParkPublished in: Magnetic resonance in medicine (2021)
The proposed scheme can simultaneously optimize b-values and train DNN to minimize quantification errors of IVIM parameters. The trained DNN can quantify IVIM parameters from the diffusion-weighted images obtained with the optimized b-values.
Keyphrases
- diffusion weighted
- contrast enhanced
- neural network
- magnetic resonance imaging
- diffusion weighted imaging
- high speed
- magnetic resonance
- computed tomography
- deep learning
- convolutional neural network
- optical coherence tomography
- patient safety
- resistance training
- mass spectrometry
- high intensity
- body composition
- quality improvement