A GIANT LEAP FORWARD
Long scan times have always been one of the biggest problems with MRI.
This has led to difficulties in keeping up with soaring clinical demand for MRI scans. Clinical throughput is hindered by long lines, with people waiting weeks or even months to get a scan.
SwiftMR™, AIRS’s next generation MRI acceleration solution, utilizes powerful deep learning technology to break through previous limitations. MRI scanning times can be cut in half, leading to higher scan productivity, fewer motion artifacts, better image quality, and improved patient experiences.
A NEW ERA OF MRI ACCELERATION
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 combines the strengths of all three approaches to ensure that the final reconstruction results are accurate and clinically robust.