Development of Methods and Software for Interior Tomography Applications

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$140,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
1R43EB009275-01A1
Award Id:
93748
Agency Tracking Number:
EB009275
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
INTERIORSOFT, LLC, 1875 BROWN DEER RD, CORALVILLE, IA, 52241
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
019731530
Principal Investigator:
HENGYONGYU
() -
HENGYONG@GMAIL.COM
Business Contact:
FANGQIAN
() -
Research Institute:
n/a
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 interio r 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 nume rous 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 red uce 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 deve loped 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 re gion 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.

* information listed above is at the time of submission.

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