technical white paper

Optimizing SwiftMR Protocols for Diverse Applications

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The whitepaper from AIRS Medical Inc. introduces SwiftMR™, a deep learning-based technology designed to enhance MRI quality by improving the signal-to-noise ratio (SNR) and spatial resolution without increasing scan times or introducing artifacts.

It addresses the traditional compromise between image quality and scan time in MR imaging, and offers different strategies for optimizing imaging protocols for maximizing the benefits of SwiftMR™. The product can be tailored to various clinical needs, with the versatility in acquisition parameter adjustments allowing for the enhancement of image quality in different aspects. Scan time reduction, spatial resolution improvement, SNR enhancements are some of the examples which the paper illustrates the effects of SwiftMR on.