Dataset related to article "Phantom‑based analysis of variations in automatic exposure control across three mammography systems: implications for radiation dose and image quality in mammography, DBT, and CEM"

The dataset comprises information from several DICOM tags extracted from digital mammography (DM), digital breast tomosynthesis (DBT), and contrast-enhanced mammography (CEM) images acquired in a phantom study aimed at characterizing the automatic exposure control (AEC) behavior of diverse mammography equipment. The final ten columns of the datasets encompass signal (mena pixel values, MPV) and noise (standard deviation, SD) measurements derived from phantom images. These measurements are used to compute several image quality metrics, including contrast, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), CNR relative difference in comparison to the 45 mm reference thickness, and a figure of merit (FOM) obtained by diving the squared CNR by the mean glandular dose (MGD).本数据集包含某体模研究中采集的数字化乳腺X线摄影（digital mammography, DM）、数字化乳腺断层合成（digital breast tomosynthesis, DBT）及对比增强数字化乳腺X线摄影（contrast-enhanced mammography, CEM）图像所提取的多条DICOM标签（DICOM tags）信息，该研究旨在表征各类乳腺X线摄影设备的自动曝光控制（automatic exposure control, AEC）行为。数据集的最后十列包含从体模图像中获取的信号（平均像素值，mean pixel values, MPV）与噪声（标准差，standard deviation, SD）测量数据。上述测量数据可用于计算多项图像质量指标，包括对比度、信噪比（signal-to-noise ratio, SNR）、对比度信噪比（contrast-to-noise ratio, CNR）、相较于45mm参考厚度的CNR相对差异，以及通过将CNR平方值除以平均腺体剂量（mean glandular dose, MGD）得到的品质因数（figure of merit, FOM）。

搜集汇总

背景与挑战

背景概述

该数据集包含从数字乳腺X线摄影（DM）、数字乳腺断层合成（DBT）和对比增强乳腺X线摄影（CEM）体模图像中提取的DICOM标签信息，以及信号和噪声测量数据，用于分析不同乳腺X线摄影系统的自动曝光控制（AEC）行为，并评估其对辐射剂量和图像质量的影响。数据集旨在支持乳腺成像领域的研究，通过计算对比度、信噪比等指标，为优化设备性能提供实证基础。