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Referenceless Nyquist Ghost Correction for Echo Planar Imaging (EPI)

Technology #20180065

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Nyquist ghost correction: Data are grouped into GRAPPA-like kernels (top left), and each kernel becomes a column in a matrix (top right) with dimensions r-by-c, where r is the total number of k-space points in the kernel for all receive coils and c is the total number of kernels, typically covering the whole k-spaceGhost corrected image from iterative entropy based reconstruction
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Researchers
Patrick Bolan, PhD
Associate Professor, Radiology (Center for Magnetic Resonance Imaging)
External Link (www.radiology.umn.edu)
Managed By
Kevin Nickels
Technology Licensing Officer 612-625-7289
Patent Protection

Provisional Patent Application Filed
Publications
Nyquist ghost correction of breast diffusion weighted imaging using referenceless methods
Magnetic Resonance in Medicine, 2018;1–8

Removes Nyquist ghost artifacts

A novel referenceless technique corrects magnetic resonance imaging (MRI) images by removing Nyquist ghost artifacts from echo planar imaging (EPI). The algorithm seeks to find a set of optimal phase correction parameters that minimize a metric calculated directly from uncorrected images. The metric is defined as the sum of the ratio between the image and an image shifted by half of the field of view (FOV). The method is effective for not only single shot EPI, but also for multi-shot EPI, where current methods require a reference scan, navigators or user intervention.

Better artifact removal, increased robustness, faster acquisition

Echo planar imaging (EPI), used for fast imaging on magnetic resonance imaging (MRI) scanners, is prone to an artifact known as a Nyquist ghost. While existing methods can offer Nyquist ghost correction, they often fail in body imaging due to insufficient fat suppression. This technology offers a unique Nyquist ghost correction method with better performance, increased robustness and reduced acquisition requirements compared to existing methods.

Phase of Development

  • Proof of concept. Post processing of in vivo diffusion weighted breast imaging.

Benefits

  • Performance exceeds alternatives and is faster
  • Better artifact removal
  • Increased robustness

Features

  • Referenceless; does not require separate reference scan
  • Does not require fitting or masking
  • Integrates with accelerated imaging
  • Online reconstruction (software) implemented on MR scanners

Applications

  • Magnetic resonance imaging (MRI)
  • Echo planar imaging (EPI)


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The University relies on industry partners to further develop and ultimately commercialize this technology. The license is for the sale, manufacture or use of products claimed by the patents. Please contact Kevin Nickels to share your business needs and licensing and technical interests in this technology.