A Review of the Recent Advances in Ultra-High Field Magnetic Resonance Imaging

Abstract

Recent advances in ultra-high field magnetic resonance imaging have addressed substantial technological challenges in both hardware and software. These challenges, including transmit field inhomogeneity, primarily are due to the onset of far-field effects at the resonance frequencies at 7Tesla and 10.5Tesla MRI which becomes more demanding at higher field strengths. The advent of parallel imaging techniques in reception (multi-channel radio-frequency arrays), transmission (parallel transmit or pTx), and reconstruction (especially using deep learning models) has been an effort to address such challenges. Here, the most recent notable advances in MRI in both hardware and software fronts and their implications for human brain neuroscience applications are reviewed.