SBIR/STTR Research Award

Fast Photon-counting CZT Detector for CT Imaging

Award identifier ee9679676e34f39ff23e50de5f136e20c0b2d0cf4709eedfb02365484c82e09fAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2007

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
DXRAY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): The goal of the project is to develop the next generation CT detector modules for x-ray CT scanners based on high-throughput photon-counting cadmium zinc telluride (CZT) detectors combined with CMOS readout arrays. This new technology will deliver significant improvements in diagnostic capabilities. We will develop a novel detector module which adds several new important features compared with the basic principles of technology currently used by all major CT manufacturers. The currently commercially-available CT systems typically use a detector having silicon (Si) (p-n junction) photodiodes that are optically coupled to a scintillator which is operated in a current-integrating mode where the signals generated from the x-rays are integrated in each pixel over a time before the integrated charge is read out. The use of these current-mode detectors results in generally poorer image quality than could be achieved by using the technology proposed in the product presented here. Instead of integrating the x-ray current over a time, photon counting is used to measure and count each x-ray individually over a similar time. By doing this, the following additional features can be obtained: counting (and analysis) of each individual x-ray, binning events according to x-ray energies, and spectroscopic x-ray imaging capabilities. These new features lead to: potentially significantly reduced x-ray dose to the patient, compositional analysis of tissue through spectroscopic x-ray imaging, and potentially significant improvement in overall image quality. In Phase I we will develop and test a drift structure for each individual pixel element to greatly increase the count-rat capability of the detector system, a critical characteristic due to the large x-ray flux incident on x-ray CT detectors. We will choose an optimal structure by performing simulations and then measuring the actual performance of the structure on high-quality CZT detectors. The Phase I work will reduce the risk for the successful completion of Phase II, where we will construct the detector module prototype which will consist of individual detector modules (tiles) arranged in a (one- or two- dimensional) array so as to form the entire detector. Each detector module (tile) constitutes a pixillated semiconductor detector that allows for direct conversion of the x-rays. In addition it uses highly advanced next generation integrated circuits in order to produce digital x-ray CT images where each individual x-ray is counted and analyzed.

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.