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System for Magnetic Resonance Spectroscopy of Brain Tissue for Pattern-based Diagnostics

Posted Oct 28 2010 8:00pm

Description of Invention:
Available for licensing and commercial development is a system for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans. Raw MRS spectrum data and scaling the raw MRS spectrum data is achieved by a plurality of weighting constants to generate a preprocessed MRS spectrum data. The method may also include providing raw MRS spectrum data, recalibrating the raw MRS spectrum data, and scaling the recalibrated MRS spectrum data by using a plurality of weighting constants to generate a preprocessed MRS spectrum data.

  • MRI Imaging
  • Brain Imaging
  • Neurology

Jon G Wilkes (FDA)
Dan A Buzatu (FDA)
Pierre Alusta (FDA)
Bruce Pearce (FDA)
Ryan M Kretzer (FDA)
Inessa Im (FDA)
Richard Beger (FDA)

Patent Status:
HHS, Reference No. E-298-2009/0

U.S. Provisional Application No. 61/261,170 filed 13 Nov 2009

Licensing Status:
Available for licensing.

Collaborative Research Opportunity:
The FDA National Center for Toxicological Research is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize FDA’s magnetic resonance spectroscopy technology in various imaging and diagnostic applications. Please contact Alice Y. Welch, Ph.D. at 301-796-8449 or for more information.

Devices/Instrumentation - Diagnostics

For Licensing Information Please Contact:
Michael Shmilovich Esq.
NIH Office of Technology Transfer
6011 Executive Blvd. Suite 325,
Rockville, MD 20852
United States
Phone: 301-435-5019
Fax: 301-402-0220

Ref No: 2185

Updated: 10/2010

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