SBIR/STTR Research Award

Multi-spectral single-scan digital lung imaging system

Award identifier 3c2007134d5dea759e959be8141f3e3956794d76678afbffd629fb987b70c9faAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$149,782

Program and phase

SBIR · Phase I

Award year

2006

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
FOREVISION TECHNOLOGIES CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2006-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): The long-term objective of this research project is to develop a multi-spectral single-scan lung imaging system. Our primary hypothesis is that the essentially simultaneous and co-registered acquisition of multi-spectral projection data for each path (line-integral) through the patient will help in the detection and characterization of lung diseases. At the heart of the project will be the development of a fast and low-noise full-frame sampling narrow-aperture CMOS detector that can be scanned behind the body of interest. In synchronicity with each detector-row advance and full frame sampling, the x-ray spectra are varied (via techniques, filtration, and potentially x-ray anode track and target material selection) in such a way that each line-integral through the body to be imaged and analyzed is sampled at a multiplicity of spectra. As a result, in a single scan of the anatomy a multiplicity of essentially co-temporal and co-registered projection images are acquired under separate spectral conditions. These image data are then decomposed onto a multiplicity of basis functions (which may then be displayed separately or in various weighted combinations). In Phase I of this application we will focus on the proof of feasibility for co-temporal and co-registered multi-spectral chest imaging. The Specific Aims for Phase I research are to: (1) Substantiate the approach potential for lung cancer screening; (2) Demonstrate system feasibility.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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