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Artifacts Reduction Based on 3D Surface Prior Information in Iterative Breast Tomosynthesis Reconstruction

机译：基于3D表面先验信息的人工乳房X线断层合成重建中的伪像减少

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摘要

Digital breast tomosynthesis (DBT) can provide quasi three-dimensional (3D) structural information using a sequence of projection views that are acquired at a small number of views over a limited angular range. Nevertheless, the quantitative accuracy of the image can be significantly compromised by severe artifacts and poor resolution in depth dimension resulting from the incomplete data. The purpose of this work is: (a) investigate a variety of boundary artifacts representing as the decline tendency of the attenuation coefficients which is caused by insufficient projection data; (b) employ the 3D breast surface information we proposed in this study into the simultaneous algebraic reconstruction technique (SART) for artifacts reduction. Numerical experiments demonstrated that such boundary artifacts could be suppressed with the proposed algorithm. Compared to SART without using prior information, a 9.57% decrease in root mean square error (RMSE) is achieved for the central 40 slices. Meanwhile, the spatial resolution of potential masses and micro calcifications (MCs) in the reconstructed image is relatively enhanced. The full-width at half maximum (FWHM) of the artifact spread function (ASF) for proposed algorithm and SART are 17.87 and 19.68, respectively.
机译：数字乳房断层合成（DBT）可以使用一系列投影视图来提供准三维（3D）结构信息，这些投影视图是在有限角度范围内以少量视图获取的。然而，由于不完整的数据导致严重的伪影和深度尺寸的较差分辨率，图像的定量精度可能会大大降低。这项工作的目的是：（a）研究各种边界伪影，这些伪影代表由投影数据不足引起的衰减系数的下降趋势； （b）将我们在这项研究中提出的3D乳房表面信息应用于同时代数重建技术（SART），以减少伪影。数值实验表明，所提出的算法可以抑制这种边界伪像。与不使用先验信息的SART相比，中心40个切片的均方根误差（RMSE）降低了9.57％。同时，重构图像中潜在质量和微钙化（MC）的空间分辨率相对增强。拟议算法和SART的伪影扩散函数（ASF）的半峰全宽（FWHM）分别为17.87和19.68。

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