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Significant CT Radiation Dose Reduction with Equally Sloped Tomography

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
R41EB014605
Solicitation Year:
2012
Solicitation Topic Code:
NIBIB
Solicitation Number:
PA11-097
Small Business Information
TOMOSOFT TECHNOLOGIES, LLC
1723 BEVERLY DR CHARLOTTE, NC 28207-2513
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Significant CT Radiation Dose Reduction with Equally Sloped Tomography
Agency: HHS
Contract: 1R41EB014605-01A1
Award Amount: $169,798.00
 

Abstract:

DESCRIPTION (provided by applicant): CT has become a routine medical tool in diagnosis of diseases and visualization of critical interventional procedures. The number of CT examinations has significantly increased over the past two decades in the US, and reached approximately 72 million in 2007 alone [5,8]. According to the 2009 report from the National Council on Radiation Protection and Measurements, CT examinations are responsible for approximately 50% of the medical radiation exposure and nearly 25% ofthe total population exposure [8]. Recent studies suggested that approximately 29,000 future cancers could be related to CT examinations performed in the US in 2007 alone [1-3], which is equivalent to about 2% of the cancers that are diagnosed annually inthe US [1,4]. As the number of CT examinations continues to increase from the 2007 rate, the radiation dose associated with CT and its potential for the increase in radiation-induced cancers have become a public health issue (LA Times, Oct 2009, NY Times Jan 2010, [1-7]). Software that reduces the required radiation dose without impacting image quality, and that can be applied to existing and future CT scanners without hardware modification will have a dramatic positive impact on public health and can provide a distinctive advantage for the CT scanner manufacturer (OEM) that offers it. In this proposal, we aim to perform significant CT dose reduction by using an innovative Fourier-based iterative method called Equally Sloped Tomography (EST).The proposed algorithm a) can be adapted to current and future generations of CT scanners without modification of the hardware, b) does not require interpolation in the Fourier space [9-19] which is generally less accurate, and c) physical and mathematical constraints cannaturally be incorporated into the algorithm. Our preliminary studies indicate that EST can reduce the CT dose by ~70%, while producing comparable or better image resolution, quality and contrast than the full-dose Filtered Back Projection algorithm (FBP)reconstructions [17, 18]. TomoSoft Technologies, LLC has executed an exclusive licensing agreement with UCLA for the EST algorithm. In this proposal, TomoSoft and UCLA will further prove and co-develop the algorithm. We have formed an interdisciplinary team with extensive experience in algorithm development, applied mathematics and medical physics. Building upon the success of the preliminary results, the goal of this proposal is to a) test a central hypothesis that EST can be applied to significantly reduce the radiation dose in medical CT without sacrificing the image quality, contrast and resolution, and b) expand the algorithm applicability to the cone-beam geometry CT scanners, which are more prevalent in clinical settings today. PUBLIC HEALTHRELEVANCE: According to the 2009 report from the National Council on Radiation Protection and Measurements, CT examinations are responsible for approximately 50% of the medical radiation exposure and nearly 25% of the total population exposure [8]. Recentstudies suggested that approximately 29,000 future cancers could be related to CT examinations performed in the US in 2007 alone [1-3], which is equivalent to about 2% of the cancers that are diagnosed annually in the US [1, 4]. In this proposal, we aim to perform significant CT dose reduction by utilizing an innovative CT reconstruction method

Principal Investigator:

Benjamin Fahimian
704-773-7652
fahimian@stanford.edu

Business Contact:

Michael Sinsheimer
704-773-7652
msinsheimer@carolina.rr.com
Small Business Information at Submission:

TOMOSOFT TECHNOLOGIES, LLC
1723 BEVERLY DR CHARLOTTE, NC 28207-2513

EIN/Tax ID: 126111014
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIVERSITY OF CALIFORNIA AT SAN DIEGO
UNIVERSITY OF CALIFORNIA SAN DIEGO
9500 GILMAN DR, DEPT 0934
LA JOLLA, CA 92093-0934
Contact: