SBIR/STTR Research Award

Multi-view, Photon Counting DXA Scanner for Quantitative Musculoskeletal Imaging

Award identifier b6d4fc3d7e48291f96ff101992ead644ce50ce769424b9ab74ca3894efd4ef51Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$237,900

Program and phase

SBIR · Phase I

Award year

2011

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
QUANTUM MEDICAL METRICS, LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PA10-050
Topic code
NIAMS

Research abstract

DESCRIPTION (provided by applicant): The fragility of osteoporotic bones is largely due to alterations in the underlying structural geometry. Research has demonstrated that it is possible to measure the mechanical geometry of human bones in vivo using dualenergy x-ray absorptiometry (DXA) scans. However DXA scanners are designed to measure bone mineral density (BMD) and not structural geometry. The 2-dimensional relatively poor quality images adequate for BMD are not well suited to measuring geometry of 3-dimensional bones. In this Phase I SBIR project we propose to use a full-sized benchtop system to test the properties of a multiple-projection DXA scanner designed to measure bone geometry in any body region with higher quality image data. The scanner willemploy a multi-row array of counting detectors in a slot-scanning configuration to produce higher quality material decompositions and higher spatial resolution than any existing DXA system. The scanner is designed to accommodate projections through thickbody regions or obese patients with little loss of SNR by adjusting the x-ray flux, scan time and or the spectral filter. In this project the system design will be completed so that a human capable prototype can be built and tested on humans in Phase 2. The C-arm gantry design is to be configured for scanning of the entire body with sizes from neonate to 99th percentile adults with the patient either recumbent or erect. It will also scan anybody sub-region in any axial projection. The system design employsa flexible detector interface and scanning configuration so that counting detectors from several vendors may be tested. PUBLIC HEALTH RELEVANCE: Bone densitometry scanners are designed to measure bone density as way to determine if patients are susceptible to osteoporotic fractures but current scanners are accurate only 50% of the time. The principles used in bone densitometry scanners can be employed to measure the bone structure for a more direct evaluation of bone strength, but scanners need better image quality and the ability to view bones from multiple directions. The purpose of this proposal is to test the principles of an x-ray scanner that uses spectral information to provide multiple high-quality views of patient's bones so that strength canbe estimated using engineering methods. If successful a scanner capable of scanning patients either erect or recumbent will be built in Phase 2 and tested on human volunteers.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

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.