title: Joint photographic experts group (JPEG) compatible data compression of mammograms.
abstract: We have developed a Joint Photographic Experts Group (JPEG) compatible image compression scheme tailored to the compression of digitized mammographic images. This includes a preprocessing step that segments the tissue area from the background, replaces the background pixels with a constant value, and applies a noise-removal filter to the tissue area. The process was tested by performing a just-noticeable difference (JND) study to determine the relationship between compression ratio and a reader's ability to discriminate between compressed and noncompressed versions of digitized mammograms. We found that at compression ratios of 15:1 and below, image-processing experts are unable to detect a difference, whereas at ratios of 60:1 and above they can identify the compressed image nearly 100% of the time. The performance of less specialized viewers was significantly lower because these viewers seemed to have difficulty in differentiating between artifact and real information at the lower and middle compression ratios. This preliminary study suggests that digitized mammograms are very amenable to compression by techniques compatible with the JPEG standard. However, this study was not designed to address the efficacy of image compression process for mammography, but is a necessary first step in optimizing the compression in anticipation of more elaborate reader performance (ROC) studies.
authors.affiliation: Department of Radiology, University of Pittsburgh, PA 15261-0001.
authors.forename: W F
authors.initials: WF
authors.lastname: Good
authors.forename: G S
authors.initials: GS
authors.lastname: Maitz
authors.forename: D
authors.initials: D
authors.lastname: Gur
mesh_terms: D000465:Algorithms; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008327:Mammography; D015588:Observer Variation; D010781:Photography; D011856:Radiographic Image Enhancement / Q000379:methods; D011873:Radiology Information Systems; D012984:Software