5 June 2003 Statistical properties of 4000 raw and processed digital mammograms from a GE Senograph 2000D
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Optimization of the display of digital mammograms is an important challenge and requires knowledge of the characteristics of actual patient images. This work aims to create a description of some of the fundamental statistical properties of a large volume of images acquired on an FDA approved device as used in clinical practice. 4569 digital mammograms (1246 patients) were acquired between October 2001 and August 2002 on a GE Senograph 2000D at Sunnybrook and Women's College Health Sciences Centre. Images were saved in "raw" format. The breast was then segmented from the background on the image using a technique based on thresholding and some connectivity rules. The histogram of pixel values in the breast only is then calculated for both the raw and processed versions of the image. The region of constant thickness, where the breast is in contact with the compression paddle, was also segmented from the CC view raw images. The histogram and statistical properties in this central region were also calculated. Assorted statistical descriptors of the histograms were examined (dynamic range, mean, standard deviations, median and mode). The effect of image processing on the dynamic range in the periphery and central area of the breast was evaluated. The results were compared against the automatic exposure algorithm and acquisition parameters, projection (view) and breast thickness.
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Aili K. Bloomquist, Aili K. Bloomquist, Martin J. Yaffe, Martin J. Yaffe, Gordon E. Mawdsley, Gordon E. Mawdsley, Dan Rico, Dan Rico, Stewart Bright, Stewart Bright, } "Statistical properties of 4000 raw and processed digital mammograms from a GE Senograph 2000D", Proc. SPIE 5030, Medical Imaging 2003: Physics of Medical Imaging, (5 June 2003); doi: 10.1117/12.480132; https://doi.org/10.1117/12.480132

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