Performance of compressed sensing for fluorine-19 magnetic resonance imaging at low signal-to-noise ratio conditions.
Ludger StarkeAndreas PohlmannChristian PrinzThoralf NiendorfSonia WaicziesPublished in: Magnetic resonance in medicine (2019)
CS is advantageous whenever image features are close to the detection threshold. It is a powerful tool, even for low-SNR data with sparsely distributed 19 F signals, to improve spatial and temporal resolution in 19 F MR applications.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- positron emission tomography
- computed tomography
- electronic health record
- deep learning
- loop mediated isothermal amplification
- air pollution
- real time pcr
- magnetic resonance
- big data
- label free
- single molecule
- pet imaging
- neural network
- diffusion weighted imaging
- machine learning
- data analysis