HOW SwiftMR™ WORKS
Classic parallel imaging algorithms are robust and widely used, but their acceleration power is limited. Compressed sensing algorithms allow more acceleration, but are still limited in their acceleration capacity. Deep learning can break through these limits, but may suffer from interpretability and generalizability issues. AIRS Medical combines the strengths of all three approaches to ensure that the final reconstruction results are accurate and clinically robust.