Auto-Calibrating Parallel MRI Technique with Distortion-Optimal Image Construction


This invention provides a new computational method for the formulation of magnetic resonance (MR) images to 1) reduce the scan time and complexity and 2) improve upon existing MRI methods. This is all accomplished while maintaining the integrity and functionality of other MRI methods.

This invention describes the development of a computational method for the formulation of magnetic resonance (MR) images. It achieves this by utilizing data acquired by multiple receiver channels available on standard MRI scanners to 1) automatically identify the receiver characteristics without the need for additional data acquisition, 2) using the identification results to enable high quality imaging with fewer data samples than current methods and 3) improving upon the existing parallel MRI methods.

This technology addresses two of the key issues/challenges (faster data retrieval and artifact free images) that MRI industry currently faces.


  • Neurological
  • Musculoskeletal
  • Cardiovascular
  • Oncological


  • Reduced scan time
  • Increased set of clinical applications
  • Reduced complexity
  • Better, high quality MR images (Artifact-Free Imaging)
  • Software can be uploaded to existing machines