ERROR-FREE RADIOLOGICAL IMAGE COMPRESSION

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: N/A
Agency Tracking Number: 19404
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Awards Year: 1992
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
11229 ockwood Drive, Silver Spring, MD, 20901
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 YUAN-MING F. LURE
 PRINCIPAL INVESTIGATOR
 (301) 593-1748
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THE USE OF DIGITAL IMAGING HAS BEEN APPLIED THROUGHOUT VARIOUS RADIOLOGY SERVICES SINCE CT WAS DEVELOPED. BOTH ECONOMICS AND EFFICIENCY OF DATA STORAGE AND TRANSMISSION HAVE BEEN DEMANDED BY THE MEDICAL IMAGING COMMUNITY. A NEW DECOMPOSITION METHOD USING AN IMAGE SPLITTING AND GRAY VALUE REMAPPING METHOD, FOLLOWED BY ALTERNATE VALUE CONTOUR CODING FOR BOTH HIGHLY CORRELATED PORTION AND EDGES WILL BE USED FOR RADIOLOGICAL IMAGE COMPRESSION. DEPENDING UPON THE IMAGE QUALITY (NOISE LEVEL OF THE ACQUISITION DEVICE), THIS ERROR-FREE COMPRESSION TECHNIQUE CAN IMPROVE THE COMPRESSION EFFICIENCY BY APPROXIMATE 30-50% WITH RESPECT TO THE CONVENTIONAL DPCM/HUFFMAN CODING. THE PRACTICAL COMPRESSION RATIOS ARE VARIED FROM 3.2:1 TO 4:1 AND THE TRUE STORAGE SAVING RATIO IS 5:1. IN THIS SBIR PROJECT, WE WOULD LIKE TO (1) EXPLORE SEVERAL ARTIFICIAL INTELLIGENCE TECHNIQUES FOR ERROR-FREE RADIOLOGICAL IMAGE COMPRESSION, (2) EVALUATE THE COMPRESSION METHOD TO VARIOUS TYPE OF MEDICAL IMAGES, AND (3) CONSTRUCT PARAMETERS AND STRUCTURE THE DESIGN OF COMPRESSION AND DECOMPRESSION MODULES. THIS PROJECT WOULD EVENTUALLY LEAD TO AN EFFICIENT DATA STORAGE AND A RAPID IMAGE COMMUNICATION IN MEDICAL INFORMATION APPLICATIONS.

* Information listed above is at the time of submission. *

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