WARF: P06087US

Highly Constrained Image Reconstruction for Magnetic Resonance Spectroscopy


Charles Mistretta, Scott Reeder, John Perry, Oliver Wieben

The Wisconsin Alumni Research Foundation (WARF) is seeking commercial partners interested in developing a new method for reconstructing magnetic resonance images using multiple projecting view sets, acquired by pulse sequences, with different magnetic resonance (MR) parameters for each set.
OVERVIEWMagnetic resonance spectroscopy (MRS) is a technique that measures a subject’s nuclear magnetic resonance (NMR) to produce spectra of its tissue components.  In medical diagnosis and treatment, it can be used to identify and quantify metabolites from a desired region. 

One method used to reconstruct images from NMR projection views involves backprojecting the processed NMR data to the signal receivers.  A common error is the false assumption of homogeneity of the backprojected signal.  This error is minimized by taking sufficient data sets; however, this increases scan time.
THE INVENTIONUW-Madison researchers have developed a new method for reconstructing magnetic resonance images using multiple projecting view sets, acquired by pulse sequences, with different MR parameters for each set.  Projection views acquired using varying magnetic resonance parameters are interleaved to form a composite image.  A highly constrained backprojection reconstruction uses the composite image to reconstruct images from each set of projection views.

The image reconstruction method improves the quality of images with far fewer projection views.  By improving the composite image through the use of multiple interleaved projection views, the reconstructed MR images can be improved.  The method also can substantially improve MRS image quality, which directly relates to improved spectra of metabolites in tissue.
  • Highly constrained image reconstruction for MRS scans
  • Produces good quality images with far less NMR projection data
  • Increases speed of scans
  • Increases signal to noise ratio for reconstructed images
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For current licensing status, please contact Jeanine Burmania at or 608-960-9846.
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