Paper
16 March 2020 Human visual property based grayscale contrast enhancement: phantom-based effectiveness assessment
Author Affiliations +
Abstract
Subjective reading is still the majority way in current medical image diagnostics, and the image visualization effect to the observer is very important for the reading performance. And the display window settings play the significant role on the display quality of CT images. To improve the greyscale-based image contrast detectability, we propose a new idea that the window settings can be automatically adjusted in accordance with human visual properties. With the optimized window settings, the greyscalebased image contrast is enhanced, reading performance is improved by maximizing the visibility of targeting objects which the observer focusing on, and image impression is maintained as some level of consistency.
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Wei Zhou, Yi Tian, Zhengyu Fei, and Yougu Yang "Human visual property based grayscale contrast enhancement: phantom-based effectiveness assessment", Proc. SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 1131613 (16 March 2020); https://doi.org/10.1117/12.2549263
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KEYWORDS
Computed tomography

Image visualization

Image contrast enhancement

Image quality

Visibility

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