Observer performance assessment of JPEG-compressed high-resolution chest images

The JPEG compression algorithm was tested on a set of 529 chest radiographs that had been digitized at a spatial resolution of 100 mu m and contrast sensitivity of 12 bits. Images were compressed using five fixed "psychovisual" quantization tables which produced average compression ratios in the range 15:1 to 61:1, and were then printed onto film. Six experienced radiologists read all cases from the laser printed film, in each of the five compressed modes as well as in the non-compressed mode. For comparison purposes, observers also read the same cases with reduced pixel resolutions of 200 mu m and 400 mu m. The specific task involved detecting masses, pneumothoraces, interstitial disease, alveolar infiltrates, and rib fractures. Over the range of compression ratios tested, for images digitized at 100 mu m, we were unable to demonstrate any statistically significant decrease (p>0.05) in observer performance as measured by ROC techniques. However, the observers' subjective assessments of image resolution was reduced and suggested a decreasing, but non-significant, trend as the compression ratio was increased. The seeming discrepancy between our failure to detect a reduction in observer performance, and other published studies, is likely due to: 1) the higher resolution at which we digitized our images; 2) the higher signal-to-noise ratio of our digitized films versus typical CR images; and 3) our particular choice of an optimized quantization scheme.