Abstract Archives of the RSNA, 2010
Effective Compression Ratio of Full Field Digital Mammographic Images Using JPEG 2000
Scientific Informal (Poster) Presentations
Presented on December 2, 2010
Presented as part of LL-INS-TH: Informatics
Jaegu Yoon, Presenter: Nothing to Disclose
Bong Joo Kang, Abstract Co-Author: Nothing to Disclose
Sung Hun Kim MD, Abstract Co-Author: Nothing to Disclose
Byung Gil Choi MD, Abstract Co-Author: Nothing to Disclose
In Yong Whang, Abstract Co-Author: Nothing to Disclose
To estimate the visually lossless threshold for Joint Photographic Experts Group (JPEG) 2000 compression of digital full field mammographic images.
80 images were compressed to eight different levels: a reversible (as negative control) and irreversible 20:1, 40:1, 60:1, 80:1, 100:1, 150:1 and 200:1. By alternately displaying the original and the compressed image on the same monitor, four radiologists independently determined if the compressed image was distinguishable from the original image. For each reader, we compared the proportion of the compressed images being rated indistinguishable from the original images between the reversible compressed images. And, with more than 3 reviewers’ consensus, we evaluated the rate of the indistinguishable compressed images.
With more than 3 reviewers’ consensus, all 80 cases were indistinguishable images at 20:1 and 40:1 compressed images. 77/ 80 cases (96.2%) were indistinguishable compressed images at 60:1 compressed images. The proportion significantly increased with the irreversible 80:1 compression versus the reversible compression (p<0.0039).
Irreversibly 60:1 compressed digital mammographic images are visually lossless and, therefore, potentially acceptable for primary interpretation.
Irreversibly compressed digital mammographic images are potentially acceptable for the primary interpretation as well as reducing volume of data and operational costs.
Effective Compression Ratio of Full Field Digital Mammographic Images Using JPEG 2000. Radiological Society of North America 2010 Scientific Assembly and Annual Meeting, November 28 - December 3, 2010 ,Chicago IL. http://archive.rsna.org/2010/9007931.html