Barufaldi Bruno, Vent Trevor L, Acciavatti Raymond J, Bakic Predrag R, Noël Peter B, Maidment Andrew D A
Department of Radiology, University of Pennsylvania, Philadelphia, United States.
Proc SPIE Int Soc Opt Eng. 2020 May;11513. doi: 10.1117/12.2564118. Epub 2020 May 22.
Digital breast tomosynthesis (DBT) reduces breast tissue overlap, which is a major limitation of digital mammography. However, DBT does not show significant improvement in calcification detection, because of the limited angle and small number of projections used to reconstruct the 3D breast volume. Virtual clinical trials (VCTs) were used to evaluate the benefits of computed super resolution (SR) and the optimal combination of the acquisition parameters to improve calcification detection in DBT. We simulated calcifications that were embedded into software breast phantoms. DBT projections of the breast phantoms with and without calcifications were synthesized. We simulated detector elements of 0.085 mm and reconstructed DBT images using 0.0425 mm and 0.085 mm voxels. Channelized Hotelling observers (CHOs) were trained and tested to simulate five virtual readers. Differences in area under the curve (AUC) between SR images and images synthesized with 0.085 mm voxels were calculated using the one-shot multiple-reader multiple-case receiver operator curve (MRMC ROC) methods. Our results show that the differences in AUC is approximately 0.10, 0.03 and 0.03 for DBT images simulated using calcifications sizes 0.001 mm, 0.002 mm, and 0.003 mm, respectively. SR shows a substantial improvement for calcification detection in DBT. The impact of SR on calcification detection is more prominent for small calcifications.
数字乳腺断层合成（DBT）减少了乳腺组织重叠，而这是数字乳腺X线摄影的一个主要局限。然而，由于用于重建三维乳腺容积的角度有限且投影数量少，DBT在钙化检测方面并未显示出显著改善。虚拟临床试验（VCT）被用于评估计算超分辨率（SR）的益处以及采集参数的最佳组合，以改善DBT中的钙化检测。我们模拟了嵌入软件乳腺模型中的钙化。合成了有钙化和无钙化的乳腺模型的DBT投影。我们模拟了0.085毫米的探测器元件，并使用0.0425毫米和0.085毫米的体素重建DBT图像。训练并测试了通道化霍特林观察者（CHO）以模拟五位虚拟阅片者。使用单次多阅片者多病例接收器操作曲线（MRMC ROC）方法计算SR图像与用0.085毫米体素合成的图像之间的曲线下面积（AUC）差异。我们的结果表明，对于分别使用0.001毫米、0.002毫米和0.003毫米钙化尺寸模拟的DBT图像，AUC差异分别约为0.10、0.03和0.03。SR在DBT中的钙化检测方面显示出显著改善。SR对钙化检测的影响在小钙化方面更为突出。
