Image Intelligently.

The next evolution in portable MR imaging defines the future of life-saving diagnostics with deep learning image reconstruction.

Advanced Image Reconstruction

Before:

Linear (Conventional) Reconstruction

After:

Advanced Image Reconstruction

Available in clinical protocols on the Swoop system, T1, T2, and FLAIR images are reconstructed with a single deep learning image reconstruction pathway.

Groundbreaking is a term one frequently hears in medicine, but the recent FDA clearance of the Swoop® Portable MR Imaging SystemTM advanced image reconstruction software is a technological breakthrough. The Swoop system’s innovative approach uses deep learning in the reconstruction pipeline before constructing the image. The resulting image quality elevates the diagnostic value of portable MRI.

To create this advanced image reconstruction, Hyperfine used deep learning—an enabling technology that uses artificial neural networks (ANNs). ANNs are a set of algorithms modeled loosely after the human brain and designed to recognize patterns. Using this technology, Hyperfine trained Swoop software to improve T1, T2, and FLAIR image quality by reducing image blurring and noise. With this software upgrade, Swoop uses a unique advanced image reconstruction pipeline, developed using deep learning, to introduce two steps to the linear image reconstruction process—advanced gridding and advanced denoising.

Click below for more information and case studies regarding this groundbreaking technology.