SBIR/STTR Research Award

HIGH PRESSURE XENON 3D IMAGING DETECTOR

Award identifier 14b3b086c05e8cb8390c6ae821e7449018955d29f1eec6a47c9711c502a3eb92Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$589,950

Program and phase

SBIR · Phase II

Award year

2002

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
PROPORTIONAL TECHNOLOGIES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
TAPPXED88F63
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant):All clinical nuclear medicine imaging is done exclusively with crystal detector systems, which impose many limitations in both cost and technical performance. In 140 keV imaging, the Nal/PMT camera, the workhorse of nuclear medicine, is extremely bulky, costly, and limited in both count rate and spatial resolution. In 511 keV PET imaging, the need for exotic high Z crystals results in high cost and limited solid angle. Xenon at a density of 0.55 g/cm3 can produce a 10-fold energy resolution improvement over Nal and LSO and a time resolution comparable to LSO. Based on previous work, we propose a high pressure xenon cylindrical pulse ionization detector (20-50 mm diameter) having a pressure containing shell composed of a very low density high strength fiber composite. Through use of this composite, interaction losses with the walls of the vessel are lowered to negligible levels. Also, a highly innovative readout technique has been proposed and evaluated in which the tube interior is read out through effectively transparent walls. Pilot analytical and experimental studies have proven that a general purpose detector element can be achieved capable of both 140 keV and 511 keV imaging and having excellent 3D spatial resolution on the order of 1 mm. Experimental studies have also shown that, through use of light signals produced by both the primary interaction process and stimulated emission near the electron collection point at the anode, energy resolution approaching amplifier noise limits is possible. Thus energy resolution can be markedly improved relative to any room temperature crystal. The density of xenon employed is about 6-fold less than Nal but still affords efficient detection of 140 keV in a suitably thin detector. For 511 keV detection, the multiple interaction vertices that occur in xenon are adequately spread out among distinct tubes in an absorbing array and primary scintillation light provides coincidence time resolution of 1 ns. Thus, the proposed detector element configured in appropriate arrays can offer greatly improved performance in both of the major nuclear medicine imaging arenas. In Phase II, arrays of full sized detector elements will be developed, constructed and evaluated to predict imaging characteristics that can be achieved in very important SPECT and PET techniques.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

55 SBIR/STTR records share this UEI (1994–2023). Reported award amounts total $25,350,343. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Energy, Department of Defense, National Science Foundation

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.