Paper
27 June 1988 Image Compression Evaluation: An Example Of A Pacs Component Analysis Chain Using Psychophysics
George W. Seeley, Jan Peter J. de Valk, Herman M. Kroon, Otto Rompelman, Ab R. Bakker
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Abstract
This paper describes the evaluation of a new image compression technique as a first example of a successful procedure to evaluate image processing techniques. Forty-eight CT images of the abdomen were compressed and then reconstructed by a method called sub-band coding using vector quantization. The compression ratios used were 16:1 and 19:1. Five radiologists participated in this study: two to select the images and help in determining the appropriate training set for development of the code-book for the algorithm, and three to participate in the actual experiment. Data were taken to determine diagnostic certainty, ratings of the visibility of diagnostically important structures in the image, and accuracy of identifying which images were the originals and which were not. Results from this study demonstrate: (1) The areas under the ROC curve were virtually identical for all three sets of images (AUC's of 0.78, 0.77, 0.78 for original, 16:1, and 19:1 respectively) and these were not statistically different; (2) all diagnostically relevant structures in the compressed images were maintained by the compression technique; and (3) half of the 16:1 compressed images were identified as original images and 3 out of 48 of the 19:1. The authors conclude that the compression technique shows promise for use on CT images.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
George W. Seeley, Jan Peter J. de Valk, Herman M. Kroon, Otto Rompelman, and Ab R. Bakker "Image Compression Evaluation: An Example Of A Pacs Component Analysis Chain Using Psychophysics", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968715
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Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Image filtering

Computed tomography

Diagnostics

Image processing

Quantization

Medical imaging

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