SBIR/STTR Research Award

Development of Methods and Software for Interior Tomography Applications

Award identifier b79394f66cf578d5f5f149b3d7ce5d2353079cc2928b887d53c32a142dc2bb1eAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$140,000

Program and phase

SBIR · Phase I

Award year

2009

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
INTERIORSOFT, LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2009-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): In contrast to the conventional wisdom that the interior problem does not have a unique solution, in 2007 we developed and patented the interior tomography technology (exact and stable interior reconstruction from x-ray projection data associated with only lines through an internal region of interest). When applying conventional CT algorithms to such an incomplete dataset, the features outside the ROI may create artifacts overlapping inside real features. Our new interior reconstruction theory assumes exact knowledge on a small subregion in the region of interest, such as air in the lungs, blood in the heart, etc. As a surprising result, exact and stable interior reconstruction becomes feasible This break though has numerous biomedical implications, and will benefit or enable a wide range of CT applications including lung CT, cardiac CT, temporal bone imaging, intraoperative CT and so on, where we need to handle large objects, minimize radiation dose, suppress scattering artifacts, enhance temporal resolution, reduce system cost, and increase scanner throughput. The overall goal of this project is to develop both analytic and iterative reconstruction algorithms and software for interior tomography. The specific aims are to (1) develop analytic and theoretically exact interior reconstruction algorithms that have not been possible before; (2) develop efficient iterative interior reconstruction algorithms that incorporate additional constraints to improve image quality and reduce radiation dose further; and (3) evaluate the proposed interior reconstruction algorithms in numerical simulation and phantom experiments and develop the first of its kind software package for interior tomography. On completion of this project, we will have developed both analytic and iterative exact interior reconstruction algorithms for preclinical and clinical CT applications, and develop a commercial software package ready to be competitive on the marketplace. PUBLIC HEALTH RELEVANCE: In 2007 we developed and patented the interior tomography technology (exact and stable interior reconstruction from x-ray projection data associated with only lines through an internal region of interest). Our theory assumes exact knowledge on a small subregion in the region of interest, such as air in the lungs, blood in the heart, etc., so that for the first time exact and stable interior reconstruction becomes realistic. Our proposed methods and software will benefit or enable a wide range of CT applications including lung CT, cardiac CT, temporal bone imaging, intraoperative CT and so on, where we need to handle large objects, minimize radiation dose, suppress scattering artifacts, enhance temporal resolution, reduce system cost, and increase scanner throughput.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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