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A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction

机译:用于迭代数字乳房断层合成重建的基于扩散的截断伪影厂减少方法

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摘要

Digital breast tomosynthesis (DBT) has strong promise to improve sensitivity for detecting breast cancer. DBT reconstruction estimates the breast tissue attenuation using projection views (PVs) acquired in a limited angular range. Because of the limited field of view (FOV) of the detector, the PVs may not completely cover the breast in the x-ray source motion direction at large projection angles. The voxels in the imaged volume cannot be updated when they are outside the FOV, thus causing a discontinuity in intensity across the FOV boundaries in the reconstructed slices, which we refer to as the truncated projection artifact (TPA). Most existing TPA reduction methods were developed for the filtered backprojection method in the context of computed tomography. In this study, we developed a new diffusion-based method to reduce TPAs during DBT reconstruction using the simultaneous algebraic reconstruction technique (SART). Our TPA reduction method compensates for the discontinuity in background intensity outside the FOV of the current PV after each PV updating in SART. The difference in voxel values across the FOV boundary is smoothly diffused to the region beyond the FOV of the current PV. Diffusion-based background intensity estimation is performed iteratively to avoid structured artifacts. The method is applicable to TPA in both the forward and backward directions of the PVs and for any number of iterations during reconstruction. The effectiveness of the new method was evaluated by comparing the visual quality of the reconstructed slices and the measured discontinuities across the TPA with and without artifact correction at various iterations. The results demonstrated that the diffusion-based intensity compensation method reduced the TPA while preserving the detailed tissue structures. The visibility of breast lesions obscured by the TPA was improved after artifact reduction. ? 2013 Institute of Physics and Engineering in Medicine.
机译:数字乳房Tomosynthesis(DBT)具有强烈的承诺,以提高检测乳腺癌的敏感性。 DBT重建使用在有限角度范围内获取的投影视图(PVS)估计乳房组织衰减。由于检测器的视野(FOV)的有限场(FOV),PV在大投影角度下不能完全覆盖X射线源运动方向上的乳房。当它们在FOV之外时,无法更新成像体积中的体素,从而在重建切片中引起FOV边界的强度中的不连续性,我们将其称为截短的投影伪影(TPA)。在计算断层扫描的背景下,为过滤的反投影方法开发了大多数现有的TPA减少方法。在这项研究中,我们开发了一种新的基于扩散的方法,以使用同时代数重建技术(SART)在DBT重建期间减少TPA。我们的TPA减少方法补偿了在SART中的每个PV后电流PV的FOV外的​​背景强度中的不连续性。 FOV边界跨越FOV边界的差异与电流PV的FOV之外的区域平滑地扩散。迭代地执行基于扩散的背景强度估计,以避免结构化伪像。该方法适用于PV的前向和向后方向的TPA,以及在重建期间的任何数量的迭代。通过将重建切片的视觉质量和TPA的测量的不连续性与各种迭代的伪影校正进行比较来评估新方法的有效性。结果表明,扩散基强度补偿方法在保持细节结构的同时减少TPA。在减少工件减少后,通过TPA模糊的乳房病变的可见性。还是2013医学院物理与工程研究所。

著录项

  • 来源
    《Physics in medicine and biology.》 |2013年第3期|共19页
  • 作者单位

    Department of Radiology University of Michigan Ann Arbor MI 48109 United States;

    Department of Radiology University of Michigan Ann Arbor MI 48109 United States;

    Department of Radiology University of Michigan Ann Arbor MI 48109 United States;

    Department of Radiology University of Michigan Ann Arbor MI 48109 United States;

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  • 正文语种 eng
  • 中图分类 R35;
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  • 入库时间 2022-08-19 18:12:15

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