SBIR Phase II: Guided Positioning System for Ultrasound

Information

  • NSF Award
  • 1556103
Owner
  • Award Id
    1556103
  • Award Effective Date
    4/15/2016 - 8 years ago
  • Award Expiration Date
    3/31/2018 - 6 years ago
  • Award Amount
    $ 740,788.00
  • Award Instrument
    Standard Grant

SBIR Phase II: Guided Positioning System for Ultrasound

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be in the field of healthcare. The United States spends approximately $9,000 per person per year on healthcare. Ultrasound medical imaging is a medical imaging technology that could lower costs by providing an alternative to higher-cost imaging techniques. The technology created during this Phase II project is expected to increase the quality, value, and accessibility of medical ultrasound, which would in turn reduce medical imaging costs in the US healthcare system. Furthermore, the company's technology is expected to bring ultrasound to more clinical settings and improve system-wide efficiencies in the diagnosis and treatment of disease. The technology also has commercial potential in the international market, with $5.8B spent annually on medical ultrasound devices worldwide. Finally, by improving the utility of ultrasound, the technology will lead to improved patient care and may ultimately save lives.<br/><br/>This Small Business Innovation Research (SBIR) Phase II project will develop deep learning technology for ultrasound imaging in medicine. Ultrasound imaging has numerous benefits including real-time image acquisition, non-invasive scanning, low-cost devices, and no known side-effects (it is non-ionizing). However, variability in quality has encumbered its adoption and utility. As a result, more expensive imaging is typically utilized, often exposing patients to ionizing radiation. Our objective is to develop, improve, and test machine learning techniques, based on deep learning, to improve ultrasound acquisition and interpretation. We expect this project will create novel technologies that make ultrasound easier to use and improve the quality of ultrasound examinations. The end result will improve the quality, value, and accessibility of medical ultrasound examinations, will result in cost savings to the healthcare system, will produce improvements in patient care, and will support a sustainable business opportunity.

  • Program Officer
    Peter Atherton
  • Min Amd Letter Date
    4/13/2016 - 8 years ago
  • Max Amd Letter Date
    4/13/2016 - 8 years ago
  • ARRA Amount

Institutions

  • Name
    Bay Labs, Inc.
  • City
    San Francisco
  • State
    CA
  • Country
    United States
  • Address
    1479 Folsom Street
  • Postal Code
    941033734
  • Phone Number
    4154245616

Investigators

  • First Name
    Charles
  • Last Name
    Cadieu
  • Email Address
    mgmt@baylabs.io
  • Start Date
    4/13/2016 12:00:00 AM

Program Element

  • Text
    SMALL BUSINESS PHASE II
  • Code
    5373

Program Reference

  • Text
    SMALL BUSINESS PHASE II
  • Code
    5373
  • Text
    Software Services and Applications
  • Code
    8032
  • Text
    Hardware Software Integration
  • Code
    8033