SBIR/STTR Research Award

NearIR Photon-counting Camera for Diffuse Optical Tomography

Award identifier a5aa3f42370fd19bc58395d57cc9dae3a6f6064c08bd7f925f866080b4ff7665Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$829,949

Program and phase

SBIR · Phase II

Award year

2006

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
RADIATION MONITORING DEVICES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
SCKQA85YU4U4
Solicitation number
PHS2006-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Early detection and routine clinical screening represent the first line of defense for managing cancer, a disease that claimed over 570,280 lives in the U.S. during the year 2005. Significant advances have been made in the medical imaging of tumors; however, many of these techniques are too expensive to be implemented for routine screening. Diffuse optical tomography (DOT) and diffuse correlation tomography (DCT), which images blood flow, promises to provide a method for routine, non-invasive cancer screening that increases the frequency of screening procedures by reducing, or eliminating, the exposure to radiation. Unfortunately, the need for many single photon-counting detector elements, which are expensive and bulky, constrains the development of DCT instruments. The Phase I funding for this project supported the successful development of a new imaging technology that surmounts the limitations of conventional CMOS (complementary-symmetry metal-oxide-semiconductor) APS (Active Pixel Sensor) and CCD (Charge-Coupled Device) imaging technologies and provides the necessary foundation for DCT imaging. In Phase I, we designed, fabricated and tested CMOS avalanche photodiode pixel capable of single optical photon sensitivity, in the near infrared region of the spectrum, with a timing jitter of less than 350 ps. These CMOS Geiger photodiode (GPD) pixels digitize the incident photo-signal, which solves many of the noise issues that have limited the use of CMOS APS camera pixels for high-speed, high- sensitivity, and high spatial-resolution applications, such as DCT. The Phase II goal is to develop a fully integrated, nearIR digital camera chip for DCT imaging of blood flow. This all-digital, CMOS imaging technology fulfills the demanding requirements for providing high signal-to-noise DCT images through the use of many detector elements. In the Phase II effort, we propose to implement the successful pixel designs, identified in Phase I, to construct a prototype chip that will be incorporated into a patch. We will perform DCT imaging of phantoms in the laboratory of our collaborator, Dr. A. Yodh at the University of Pennsylvania. The diagnosis and imaging of breast tissue, as well as sport related injuries, represents the clinical target of the proposed DCT instrument. This effort improves early cancer diagnosis by non-invasively imaging the increased blood flow in breast tumors using red light.

Technology keywords

Not reported

Research funding history

930 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $346,950,619. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Energy, Department of Health and Human Services, Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.