Image compression techniques have been advocated as a means to alleviate problems caused by the large volume of digital image data expected to be generated in future radiology departments. Many issues related to the use of image compression in radiology remain to be investigated. In view of the current efforts of the Joint Photographic Experts Group (JPEG) of the International Organization for Standardization (ISO) to establish a general purpose image compression standard, we believe that it is important at this time to assess the applicability of the standard algorithm to radiographic images. In this project, we are proposing to optimize the standard algorithm for the compression of digitized chest films and then to measure the dependence of diagnostic performance on the degree of compression for this optimized algorithm. The study design will enable us not only to assess differences in performance by paired comparisons, but will also define trends, if they exist, and through regression procedures will permit us to evaluate the """"""""compression/performance"""""""" curve for this algorithm.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA060259-03
Application #
2100963
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Project Start
1993-05-15
Project End
1997-02-28
Budget Start
1995-03-01
Budget End
1996-02-29
Support Year
3
Fiscal Year
1995
Total Cost
Indirect Cost
Name
University of Pittsburgh
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
053785812
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213