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首页> 外文会议>International Workshop on Breast Imaging >Effect of denoising on the localization of microcalcification clusters in digital mammography
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Effect of denoising on the localization of microcalcification clusters in digital mammography

机译：去噪对乳腺钼靶微钙化簇定位的影响

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Noise negatively imparts the detection and characterization of lesions in mammography. While denoising filters may be used to suppress noise, they might also negatively affect the conspicuity of small lesions due to signal blurring and smearing. In previous works, we designed and validated a denoising pipeline, dedicated to mammography, capable of suppressing noise and avoiding excessive blur and smear. This is achieved by a fine-tuned noisy-denoised image blending step, which leverages a Poisson-Gaussian noise model. In the current work, we investigate the impact of the denoising pipeline on the localization of low contrast microcalcification clusters. To this end. a human observers study was conducted with a team of five medical physicists with experience in breast imaging. First, in the pilot study, we defined the limit of contrast for the localization task with and without the application of the denoising pipeline. Next, we investigated the effect of the denoising on the localization of microcalcification clusters. Clinical patient cases with dense breasts and simulated microcalcification clusters were used throughout this study to emulate challenging cases and to guarantee fine control over the lesion's contrast. The results from six readers show that the limit of localization occurred at the contrasts 0.090 and 0.079 without and with denoising, respectively. The average correct localization rate was 77% and 81% without and with denoising, respectively. Thus, the results show that the readers were able to correctly locate significantly less conspicuous lesions (p<0.05), and also performed significantly better localizing microcalcification clusters (p<0.05) when the denoising pipeline was applied.
机译：噪声会对乳房X线照相术中病变的检测和特征产生负面影响。虽然降噪过滤器可用于抑制噪声，但它们也会由于信号模糊和拖影而对小病变的明显性产生负面影响。在以前的工作中，我们设计并验证了专用于乳腺摄影的降噪管道，该管道能够抑制噪声并避免过度的模糊和拖影。这是通过微调的噪声降噪图像混合步骤实现的，该步骤利用了泊松-高斯噪声模型。在当前的工作中，我们研究了降噪管道对低对比度微钙化簇的定位的影响。为此。由五个在乳腺成像方面具有经验的医学物理学家组成的团队进行了一项人类观察者研究。首先，在试点研究中，我们定义了在有或没有应用去噪管线的情况下，定位任务的对比度极限。接下来，我们研究了去噪对微钙化簇定位的影响。在整个研究过程中，均使用具有浓密乳房和模拟微钙化簇的临床患者病例来模拟具有挑战性的病例，并确保对病变的对比度进行良好的控制。六位读者的结果表明，在没有去噪和有去噪的情况下，本地化的极限分别出现在对比度0.090和0.079处。不带和带去噪的平均正确定位率分别为77％和81％。因此，结果表明，当应用去噪管线时，阅读器能够正确地定位明显更少的明显病变（p <0.05），并且还可以显着更好地定位微钙化簇（p <0.05）。

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