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

机译:基于扩散的截断投影伪影减少方法,用于迭代式数字乳房断层合成重建

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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:数字化乳房断层融合术(DBT)有望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)估计乳房组织的衰减。由于检测器的视场(FOV)受限制,在大的投影角度下,PV可能无法在X射线源运动方向上完全覆盖乳房。当它们位于FOV之外时,无法更新成像体积中的体素,因此会导致重建切片中FOV边界上的强度不连续,我们将其称为截断投影伪像(TPA)。在计算机断层扫描的背景下,大多数现有的TPA降低方法是为过滤反投影方法开发的。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)减少DBT重建期间的TPA。我们的TPA降低方法可以补偿SART中每次PV更新后当前PV FOV之外的背景强度的不连续性。跨FOV边界的体素值差异被平滑地扩散到当前PV的FOV以外的区域。迭代执行基于扩散的背景强度估计,以避免结构化伪影。该方法可应用于PV的正向和反向TPA以及重构期间的任意数量的迭代。通过比较重建切片的视觉质量和TPA在不同迭代下是否进行伪影校正而在TPA上测得的不连续性,评估了新方法的有效性。结果表明,基于扩散的强度补偿方法在保留详细的组织结构的同时降低了TPA。减少伪影后,TPA遮盖的乳腺病变的可见度得到改善。 ? 2013医学物理与工程学院。

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