Predicting dynamic, motion-related changes in B 0 field in the brain at a 7T MRI using a subject-specific fine-trained U-net.
Stanislav MotykaPaul WeiserBeata BachrataLukas HingerlBernhard StrasserGilbert J HangelEva HečkováFabian NiessMaxim ZaitsevSimon Daniel RobinsonGeorg LangsSiegfried TrattnigWolfgang BognerPublished in: Magnetic resonance in medicine (2024)
maps from rigid subject movement and, when combined with external tracking hardware, this information could be used to improve the quality of MR acquisitions without the use of navigators.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- finite element
- resting state
- air pollution
- magnetic resonance
- white matter
- diffusion weighted imaging
- computed tomography
- resistance training
- functional connectivity
- quality improvement
- cerebral ischemia
- healthcare
- social media
- brain injury
- multiple sclerosis
- blood brain barrier
- drug induced
- subarachnoid hemorrhage