Joint multi-contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging.
Daniel PolakStephen CauleyBerkin BilgicEnhao GongPeter BachertElfar AdalsteinssonKawin SetsompopPublished in: Magnetic resonance in medicine (2020)
By leveraging shared anatomical structures across the jointly reconstructed scans, our joint multi-contrast approach learnt more efficient regularizers, which helped to retain natural image appearance and avoid over-smoothing. When synergistically combined with advanced encoding techniques, the performance was further improved, enabling up to R = 16-fold acceleration with good image quality. This should help pave the way to very rapid high-resolution brain exams.
Keyphrases
- high resolution
- image quality
- computed tomography
- magnetic resonance
- contrast enhanced
- dual energy
- loop mediated isothermal amplification
- mass spectrometry
- deep learning
- white matter
- resting state
- magnetic resonance imaging
- multiple sclerosis
- tandem mass spectrometry
- functional connectivity
- photodynamic therapy
- blood brain barrier
- fluorescence imaging
- sensitive detection