Paper
18 July 1999 CR softcopy display presets based on optimum visualization of specific findings
Katherine P. Andriole, Robert G. Gould, W. Richard Webb
Author Affiliations +
Abstract
The purpose of this research is to assess the utility of providing presets for computed radiography (CR) softcopy display, based not on the window/level settings, but on image processing applied to the image based on optimization for visualization of specific findings, pathologies, etc. Clinical chest images are acquired using an Agfa ADC 70 CR scanner, and transferred over the PACS network to an image processing station which has the capability to perform multiscale contrast equalization. The optimal image processing settings per finding are developed in conjunction with a thoracic radiologist by manipulating the multiscale image contrast amplification algorithm parameters. Softcopy display of images processed with finding-specific settings are compared with the standard default image presentation for fifty cases of each category. Comparison is scored using a five point scale with positive one and two denoting the standard presentation is preferred over the finding-specific presets, negative one and two denoting the finding-specific preset is preferred over the standard presentation, and zero denoting no difference. Presets have been developed for pneumothorax and clinical cases are currently being collected in preparation for formal clinical trials. Subjective assessments indicate a preference for the optimized-preset presentation of images over the standard default, particularly by inexperienced radiology residents and referring clinicians.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Katherine P. Andriole, Robert G. Gould, and W. Richard Webb "CR softcopy display presets based on optimum visualization of specific findings", Proc. SPIE 3662, Medical Imaging 1999: PACS Design and Evaluation: Engineering and Clinical Issues, (18 July 1999); https://doi.org/10.1117/12.352753
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KEYWORDS
Image processing

Chromium

Chest

Radiography

Visualization

Algorithm development

Pathology

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