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Evaluation of the effect of acquisition parameters on image quality in digital breast tomosynthesis: Simulation studies

机译:评价获取参数对数字乳房断层合成中图像质量的影响:仿真研究

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In Digital Tomosynthesis the reconstruction algorithms as well as the acquisition arc and the number of projections per arc are critical for the quality of tomosynthetic slices containing features of different sizes and contrast. This paper presents the results from a simulation study aiming to investigate the effect of these parameters. For this purpose, sixteen acquisition sets of simulated projections from a tissue equivalent breast phantom containing masses and groups of calcifications of gradually increasing dimensions are generated using an in-house developed XRay Imaging Simulator. For all acquisition schemes, the mean glandular dose to the breast phantom is set to 2.5 mGy. Breast tomosynthetic images are reconstructed from these projections using a simple and a filtered multiple projection algorithm. The quality of reconstructed breast tomograms is evaluated using contrast (C) and contrast to noise ratio (CNR) as figures of merit. Both evaluations show superior visibility of all reconstructed features using the filtered algorithm. CNR values increase with extending the arc for the studied mass. In case of high contrast features, the CNR trend with the arc length demonstrates an opposite behavior. The optimal increment angle between projections for calcifications of large size (0.4 mm) is found equal to 2° and for calcifications of smaller size (0.230-0.165 mm), the optimal step is increased to 4°-6°.
机译:在数字断层合成中,重建算法以及采集弧和每个弧的投影数对于包含不同大小和对比度特征的断层合成切片的质量至关重要。本文介绍了旨在研究这些参数的影响的仿真研究结果。为此,使用内部开发的X射线成像模拟器,从包含等效组织的乳房幻影的质量和逐渐增大的尺寸的钙化组中获取了十六个模拟投影的采集集。对于所有采集方案,将乳房幻影的平均腺体剂量设置为2.5 mG​​y。使用简单且经过过滤的多重投影算法,从这些投影中重建出乳房断层合成图像。使用对比度(C)和对比度与噪声比(CNR)作为品质因数来评估重建的乳房X线断层图的质量。两次评估都显示了使用滤波算法的所有重建特征的卓越可见性。对于所研究的质量,CNR值随着弧的扩展而增加。在具有高对比度特征的情况下,具有弧长的CNR趋势显示出相反的行为。发现大尺寸钙化(0.4 mm)的突起之间的最佳增量角等于2°,而小尺寸钙化(0.230-0.165 mm)的钙化,最佳步长增加到4°-6°。

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