Anja Samardzija, Kartiga Selvaganesan, Horace Z Zhang, Heng Sun, Chenhao Sun, Yonghyun Ha, Gigi Galiana, R Todd Constable
Low-field magnetic resonance imaging (MRI) has recently experienced a renaissance that is largely attributable to the numerous technological advancements made in MRI, including optimized pulse sequences, parallel receive and compressed sensing, improved calibrations and reconstruction algorithms, and the adoption of machine learning for image postprocessing. This new attention on low-field MRI originates from a lack of accessibility to traditional MRI and the need for affordable imaging. Low-field MRI provides a viable option due to its lack of reliance on radio-frequency shielding rooms, expensive liquid helium, and cryogen quench pipes...
January 11, 2024: Annual Review of Biomedical Engineering