Further investigation into the effects of lossy compression using free-response methodology

Larry T. Cook; Michael F. Insana; Michael A. McFadden; Timothy J. Hall; Glendon G. Cox; Kyle C. Bryans

doi:10.1117/12.206853

17 April 1995 Further investigation into the effects of lossy compression using free-response methodology

Larry T. Cook, Michael F. Insana, Michael A. McFadden, Timothy J. Hall, Glendon G. Cox, Kyle C. Bryans

Author Affiliations +

Proceedings Volume 2436, Medical Imaging 1995: Image Perception; (1995) https://doi.org/10.1117/12.206853
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

Using free-response methodology, we measured the comparative performance of trained observers for the task of detecting simulated pulmonary nodules in computed radiographic chest images that were compressed using the full-frame discrete cosine transform algorithm. six observers read fifty-one images containing a total of 372 simulated lesions of size ranging from 8 mm to 12 mm and with six different contrasts. The images were compressed to an average of 15:1 with the same parameters that were used in an earlier two-alternative forced- choice analysis. The results showed this level of compression did not increase the number of false=positive calls per image. also, observers tended to ignore the lowest contrast nodules in all images. At low contrast we expect compression to have the greatest effect. Therefore, overall performance was not degraded by the compression process, although performance was compromised at very low contrast.

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Larry T. Cook, Michael F. Insana, Michael A. McFadden, Timothy J. Hall, Glendon G. Cox, and Kyle C. Bryans "Further investigation into the effects of lossy compression using free-response methodology", Proc. SPIE 2436, Medical Imaging 1995: Image Perception, (17 April 1995); https://doi.org/10.1117/12.206853

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