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Signal-to-Noise Enhancement in Imaging Applications Using a Time-Series of Images

Posted Jan 24 2010 4:00pm

Description of Invention:
The invention offered for licensing relates to the field of imaging and specifically to the field of medical imaging. The apparatus and method of the invention provide for noise reduction in imaging applications that use a time-series of images. In one embodiment of the invention, a time-series of images is acquired using a same imaging protocol of the same subject area, but the images are spaced in time by one or more time intervals (e.g. 1, 2, 3 …seconds apart). A sub-region is projected across all of the images to perform a localized analysis (corresponding X-Y pixels or X-Y-Z voxels are analyzed across all images) that identifies temporal components within each sub-region. Subsequently, within the sub-regions, only those temporal components are selected whose amplitude is above a predetermined amplitude threshold. The images are then reconstructed using the sub-regions with reduced components. A maximal-intensity-projection (MIP) is applied in the temporal domain (tMIP) in order to obtain a single image with reduced noise (this can be done either at the sub-region level or at the reconstructed image level). The technology can be applied to a broad spectrum of medical imaging technologies such as MRI, X-Ray, CT and others.

Medical imaging and diagnostics applied to MRI, X-Ray, CT scans or other imaging modalities including PET, SPECT, ultrasound or optical.

Enhancing signal-to-noise of medical imaging techniques.

Development Status:
  • Proof of concept has been demonstrated. Data is available.
  • Need to acquire further data to establish clinical utility of the method and to further optimize the protocol.

Han Wen (NHLBI)
Vinay M Pai (NHLBI)

Patent Status:
HHS, Reference No. E-292-2009/0
US, Application No. 61/266,442 filed 03 Dec 2009

Relevant Publication:
  1. Fish DA, Grochmalicki J, Pike ER. Scanning singular-value-decomposition method for restoration of images with space-variant blur. J Opt Soc Am A, 13(3), pp. 464-469, March 1996.
  2. Du X, Dunxu Y, Cuihua L, Jing L. "A novel approach to SVD-based image filtering improvement," International Conference on Computer Science and Software Engineering, vol 6, pp. 133-136, 2008.

Licensing Status:
Available for licensing.

Collaborative Research Opportunity:
The National Heart, Lung, and Blood Institute is seeking statements of capability or interest from parties interested in collaborative research to implement the technology described above on specific commercial platforms. Please contact Denise Crooks, Ph.D. at 301-435-0103 or via e-mail at for more information.

Internal Medicine
Internal Medicine - Diagnostics

For Additional Information Please Contact:
John Stansberry Ph.D.
NIH Office of Technology Transfer
6011 Executive Blvd. Suite 325,
Rockville, MD 20852
United States
Phone: 301-435-5236
Fax: 301-402-0220

Ref No: 2060

Updated: 01/2010

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