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A method to modify mammography images to a appear as if acquired using different radiographic factors

机译:将乳房X线摄影图像修改为A的方法看起来好像使用不同的射线照相因子获取

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This work presents and tests a new method of adapting mammography images to appear as if acquired using different radiographic factors by changing the signal and noise within the images. A Hologic Selenia Dimensions was used for the validation of the conversion method. Two set of images were acquired for the validation, one set was of 30, 45 and 60 mm thick polymethyl methacrylate (PMMA) acquired for a range of beam qualities while the other set was the same except for the addition of a contrast object of 2 and 4 mm thick pieces of PMMA. One set of images was then adapted to appear the same as a target image acquired with a higher or lower tube voltage. The normalized noise power spectra (NNPS) and standard deviation of the flat field images and the contrast-to-noise ratio (CNR) of the other images were calculated for the simulated and target images. The NNPS and standard deviation for the target and the simulated images were found to be within 2%. The CNRs of the target and simulated images were found to be within 4% of each other. The methodology successfully converted the images and can be used in observer studies to examine the impact of radiographic factors on lesion detection.
机译:这项工作介绍并测试了一种通过改变图像内的信号和噪声来调整乳房X线摄像图像以显示出看起来好像使用不同的射线照相因子。一种HOLOG SELENIA尺寸用于转换方法的验证。获得两组图像的验证,一组为30,45和60mm厚的聚甲基丙烯酸甲酯(PMMA),该甲基丙烯酸甲酯(PMMA)在一定范围内获得,而另一组除了添加2的对比物体外相同和4毫米厚的PMMA。然后,一组图像适于显着与具有更高或更低的管电压获取的目标图像相同。针对模拟和目标图像计算归一化噪声功率谱(NNP)和平坦场地图像的标准偏差和另一图像的对比度偏差(CNR)。发现目标和模拟图像的NNP和标准偏差在2%以内。发现目标和模拟图像的CNR在彼此的4%以内。该方法成功地转换了图像,可用于观察者研究,以检查放射线因素对病变检测的影响。

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