Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted images.
Kensei MatsuoTakeshi NakauraKosuke MoritaHiroyuki UetaniYasunori NagayamaMasafumi KidohMasamichi HokamuraYuichi YamashitaKensuke ShinodaMitsuharu UedaAkitake MukasaToshinori HiraiPublished in: Neuroradiology (2023)
SR-DLR has the potential to augment the quality of DWI in DL MRI scans without significantly impacting ADC quantitation.
Keyphrases
- diffusion weighted
- contrast enhanced
- deep learning
- magnetic resonance imaging
- diffusion weighted imaging
- computed tomography
- convolutional neural network
- magnetic resonance
- artificial intelligence
- ms ms
- big data
- resting state
- mass spectrometry
- white matter
- electronic health record
- machine learning
- liquid chromatography tandem mass spectrometry
- high performance liquid chromatography
- dual energy
- liquid chromatography
- tandem mass spectrometry
- quality improvement
- functional connectivity
- human health
- optical coherence tomography
- risk assessment
- multiple sclerosis
- data analysis
- subarachnoid hemorrhage