IGF::OT::IGF OTHER FUNCTIONS AUTOMATED DATA SEGMENTATION TO ENABLE REAL-TIME IN VIVO 3-D IMAGE RECONSTRUCTION

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$197,428.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
N43CO120033
Agency Tracking Number:
N43CO120033
Solicitation Year:
2012
Solicitation Topic Code:
NCI
Solicitation Number:
n/a
Small Business Information
DIAGNOSTIC PHOTONICS, INC.
DIAGNOSTIC PHOTONICS, INC., 200 South Wacker, CHICAGO, IL, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
829708903
Principal Investigator:
ANDREW CITTADINE
(312) 320-5478
ACITTADINE@DIAGNOSTICPHOTONICS.COM
Business Contact:
ANDREW CITTADINE
(312) 320-5478
ACITTADINE@DIAGNOSTICPHOTONICS.COM
Research Institution:
Stub




Abstract
In vivo medical imaging is becoming an indispensable tool in the screening, diagnosis, staging, treatment, and monitoring of cancer and a host of other diseases. However, the full potential of these technologies has been severely limited by image processing time and memory management of large data sets. In order to address this problem, Diagnostic Photonics, Inc. proposes to develop and distribute a data segmentation/ desegmentation method and corresponding algorithms for the reconstruction of images from large multiplexed data sets for optimized speed and memory usage. Utilizing principles of physics in conjunction with computer science, the algorithms will be able to produce faster and better images compared to their competition which includes improved computer hardware and software compilers. These algorithms can be implemented across a wide array of medical imaging modalities including synthetic aperture techniques and other imaging modes in ultrasound, MRI, optical quantum dot imaging and optical coherence tomography among others. Beyond medicine, the utility of the method extends to defense applications such as synthetic aperture radar.

* information listed above is at the time of submission.

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