Real Time Medical Image Processing Using Cloud Computing


The invention pertains to a system for reconstructing images acquired from MR and CT scanners in a robust Gadgetron based cloud computing system. A hardware interface connects clinical imaging instruments (e.g., MR or CT scanners) with a cloud computing environment that includes image data reconstruction and processing software not limited by the computational constraints typical of static hardware with finite processor power. Raw imaging data acquired from an MR or CT instrument is evaluated and categorized based on a pre-prioritized dimensionality parameter (e.g., spatial dimension parameter; three- or two-dimensionality, a time parameter, a flow/velocity parameter, an experiment timing dimension parameter, a diffusion encoding parameter, a functional/physiological testing dimension parameter, or a physiologic gating index parameter) and transmitted to a corresponding cloud computing environment for processing and reconstruction. The final processed image is retransmitted to a user interface that can be read by a radiologist or technician.

Potential Commercial Applications: Competitive Advantages:
  • MRI imaging
  • CT imaging
  • Image processing
  • Diagnostic radiology
 
  • Eliminates the need for purchasing expensive data processing equipment that becomes obsolete
  • Less equipment leads to lowers costs and space efficiency
  • Exponentially more robust computer power, data acquisition and image reconstruction


Development Stage:
  • Early-stage
  • In vitro data available
  • In vivo data available (animal)
  • In vivo data available (human)
  • In situ data available (on-site)
  • Prototype


Inventors:

Michael Hansen (NHLBI)  ➽ more inventions...

Peter Kellman (NHLBI)  ➽ more inventions...

Hui Xue (NHLBI)  ➽ more inventions...


Intellectual Property:
PCT Application No. PCT/2015/0014252
US Application No. 15/115,839
US Application No. 61/934,987
US Application No. 61/953,017

Collaboration Opportunity:

The National Heart Lung & Blood Institute is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate or commercialize Gadgetron mediated clinical image processing. For collaboration opportunities, please contact Denise Crooks, Ph.D. at 301-435-0103 or crooksd@nhlbi.nih.gov.


Licensing Contact:
Michael Shmilovich, J.D.
Email: shmilovm@mail.nih.gov
Phone: 301-435-5019

OTT Reference No: E-074-2014/0
Updated: Jan 4, 2016