SBIR/STTR Research Award

AEGIS: A Pixel-array Readout IC for Gamma-ray Imaging

Award identifier bb8c1c7dac49f0b34e3806afc5f46fc55b19053fa9a21b4b39346e72788a5e23Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$189,620

Program and phase

SBIR · Phase I

Award year

2005

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
Augustine Engineering
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2005-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): CdZnTe arrays are promising detectors for improving nuclear medicine imaging, but existing CdZnTe cameras have limited spatial resolution and small numbers of pixels (space bandwidth product = SpBW). We show that major performance improvements will require high SpBW (>10A5) and small pixels (high resolution). The best approach to obtaining high SpBW detectors is to make many hybrid detector rays composed of a pixellated slab of CdZnTe indium bump bonded to a readout circuit, but a new highperformance readout circuit is required. The University of Arizona Center for Gamma-Ray Imaging (CGRI) and Augustine Engineering have actively collaborated in developing such hybrid detector arrays for use in biomedical gamma ray imaging. We propose to design and build a 64 x 64 readout (AEGIS) in Phase II, which will support the development of high performance clinical semi-conductor cameras. AEGIS will be an event-driven readout with a shaper-amplifier unit cell, active leakage current compensation and 310 um pitch for excellent spatial resolution. In Phase I we will design, fabricate and test an 8 x 8 prototype AEGIS and then make 8x8 hybrid CdZnTe detectors to verify feasibility.

Technology keywords

Not reported

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.