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Proceedings Paper

Testing observer's ability to detect if an image was compressed shows large observer variability
Author(s): Celine Huguenin; Virginie Chameroy; Florent Aubry; Irene Buvat; Habib Benali; Andrew Todd-Pokropek; Robert Di Paola
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Paper Abstract

In medical imaging, many methods of irreversible compression have been studied. However, none of them has been adopted as a standard, probably because of the lack of agreement regarding what is meant by 'acceptable' for an irreversible compression scheme. Among the numerous evaluation studies which have been performed, few only involved a psychovisual approach, and it is unsafe to draw definite conclusion from the reported result. The purpose of this work was to determine the importance of intra and inter observer variability in the psychovisual evaluation of irreversible compression methods for a very specific evaluation protocol involving digitized images of breast parenchyma and imags simulating breast parenchyma using a fractal model. the compression methods to be evaluated were JPEG and Embedded Zerotree Wavelet. Six radiologists had to determine whether each image had been compressed and decompressed. ROC analysis was performed to characterize the performance in compression detection. The large intra and inter observer variability observed in the detection of compression underlines the difficulty of determining an 'acceptable' scheme of irreversible compression in medical imaging in general, and bring the approval of irreversible compression schemes into question.

Paper Details

Date Published: 26 May 1999
PDF: 12 pages
Proc. SPIE 3658, Medical Imaging 1999: Image Display, (26 May 1999); doi: 10.1117/12.349466
Show Author Affiliations
Celine Huguenin, INSERM (France)
Virginie Chameroy, INSERM (France)
Florent Aubry, INSERM (France)
Irene Buvat, INSERM (France)
Habib Benali, INSERM (France)
Andrew Todd-Pokropek, INSERM and Univ. College London (United Kingdom)
Robert Di Paola, INSERM (France)

Published in SPIE Proceedings Vol. 3658:
Medical Imaging 1999: Image Display
Seong Ki Mun; Yongmin Kim, Editor(s)

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