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Beam Optimization for Digital Mammography - II

机译：数字乳腺摄影的光束优化-II

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Optimization of acquisition technique factors (target, filter, and kVp) in digital mammography is required for maximization of the image SNR, while minimizing patient dose. The goal of this study is to compare, for each of the major commercially available FFDM systems, the effect of various technique factors on image SNR and radiation dose for a range of breast thickness and tissue types. This phantom study follows the approach of an earlier investigation, and includes measurements on recent versions of two of the FFDM systems discussed in that paper, as well as on three FFDM systems not available at that time. The five commercial FFDM systems tested are located at five different university test sites and include all FFDM systems that are currently FDA approved. Performance was assessed using 9 different phantom types (three compressed thicknesses, and three tissue composition types) using all available x-ray target and filter combinations. The figure of merit (FOM) used to compare technique factors is the ratio of the square of the image SNR to the mean glandular dose (MGD). This FOM has been used previously by others in mammographic beam optimization studies. For selected examples, data are presented describing the change in SNR, MGD, and FOM with changing kVp, as well as with changing target and/or filter type. For all nine breast types the target/filter/kVp combination resulting in the highest FOM value is presented. Our results suggest that in general, technique combinations resulting in higher energy beams resulted in higher FOM values, for nearly all breast types.
机译：为了使图像SNR最大化，同时使患者剂量最小化，需要在数字乳房X线照相术中优化采集技术因素（靶标，滤波器和kVp）。这项研究的目的是针对每种主要的市售FFDM系统，比较各种技术因素对一系列乳房厚度和组织类型对图像SNR和辐射剂量的影响。这项幻影研究采用了较早研究的方法，包括对该论文中讨论的两个FFDM系统的最新版本以及当时尚不可用的三个FFDM系统的测量。被测试的五个商用FFDM系统位于五个不同的大学测试地点，并且包括当前已获得FDA批准的所有FFDM系统。使用所有可用的X射线目标和滤光片组合，使用9种不同的幻像类型（三种压缩厚度和三种组织成分类型）评估了性能。用于比较技术因素的品质因数（FOM）是图像SNR的平方与平均腺体剂量（MGD）的比值。该FOM先前已被其他人用于乳腺X射线束优化研究。对于选定的示例，将提供描述SNR，MGD和FOM随着kVp变化以及目标和/或滤波器类型变化而变化的数据。对于所有九种乳房类型，均给出了导致最高FOM值的目标/过滤器/ kVp组合。我们的结果表明，通常，对几乎所有类型的乳房而言，技术组合导致更高的能量束会导致更高的FOM值。

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