Fractal Algorithms for Compressing Chest-Imaging Data

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$50,000.00
Award Year:
1993
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
22111
Agency Tracking Number:
22111
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
14 Clemson Court, Rockville, MD, 20850
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Alan I. Penn
(301) 279-5958
Business Contact:
() -
Research Institute:
n/a
Abstract
The research will result in a computerized system that uses fractal algorithms for compressing and decompressing digitized images of chest x-rays and analyzing recurrent geometric patterns. Utilizing a combination of general purpose fractal compression with customized fractal algorithms for recurrent geometrical patterns, this approach promises to provide significant improvement over other compression methods. Phase I research focuses on demonstrating algorithms for specific patterns found in the right lung. Phase II extends the class of algorithms for the entire chest x-ray and incorporates them into the system. A catalog of standardized, recurrent patterns will be developed. Fractal algorithms will provide a measure of variance of test images from standard patterns within the catalog. Efficacy of this variance for diagnosing pulmonary nodules will be explored. Development of an efficient compressing system for chest x-rays will significantly impact electronic medical records systems, transmission for consultative, diagnostic and research purposes. The computer programs for decompressing images will be designed to be independent of the number or type of customized algorithms used in compression and will be readily implemented on PC's and other computer platforms.

* information listed above is at the time of submission.

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