SBIR/STTR Research Award

Hardware for Ultra-Fast CT Reconstruction

Award identifier f0d64ca8e7bfc1e697549a435e8736e0eaa3dc32640b58d729f50565cf886e23Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$99,996

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
INSTARECON INC
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): In modern Multislice CT scanners, the speed of image reconstruction lags far behind the rate of data collection. The objective of this work is to develop a fundamentally new, algorithmically-accelerated, fast and flexible hardware image backprojector. The algorithms to be employed were developed and patented by the University of Illinois. Using this technology, speed-up factors of 10-50 have been achieved in software demos. Multislice CT scanners will require the additional speed afforded by a special-purpose hardware implementation of the fast algorithms. Accordingly, the Phase I aims of this project are to 1) Design, implement, and optimize the mapping of a fast algorithm onto a field programmable gate array (FPGA) testbed to produce an ultra-fast reconfigurable hardware conebeam backprojector for circular source trajectories, and to 2) Benchmark the cost/performance of the prototype system with both an FPGA implementation of the conventional backprojection algorithm and with the performance of reconstruction engines used in current medical scanners. In Phase II, the FPGA prototype design will be extended to the important helical cone-beam geometry and will be ported to a custom processing board optimized for the architecture and for interface to the standard bus employed by CT manufacturers. The fast image reconstruction engine will greatly increase the throughput of CT scanners, reducing radiologist and patient waiting times, and speeding up diagnosis for critical trauma imaging. Fast reconstruction also will enable fullresolution dynamic real-time CT (e.g. for cardiac), reduced-dose imaging, and the use of computationally demanding exact algorithms for improved image quality.

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.