Deep learning super-resolution magnetic resonance spectroscopic imaging of brain metabolism and mutant isocitrate dehydrogenase glioma.
Xianqi LiBernhard StrasserUlf NeubergerPhilipp VollmuthMartin BendszusWolfgang WickJorg DietrichTracy T BatchelorDaniel P CahillOvidiu C AndronesiPublished in: Neuro-oncology advances (2022)
Our results indicate that proposed deep learning methods are effective in enhancing spatial resolution of metabolite maps. Patient results suggest that this may have great clinical potential for image guided precision oncology therapy.
Keyphrases
- deep learning
- magnetic resonance
- artificial intelligence
- convolutional neural network
- wild type
- high resolution
- molecular docking
- machine learning
- palliative care
- case report
- resting state
- white matter
- functional connectivity
- single molecule
- risk assessment
- multiple sclerosis
- mesenchymal stem cells
- computed tomography
- magnetic resonance imaging
- human health
- blood brain barrier
- mass spectrometry
- climate change
- replacement therapy
- brain injury
- subarachnoid hemorrhage