Center for Medical Convergence Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea.
School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon, South Korea.
PLoS One. 2020 Mar 12;15(3):e0229915. doi: 10.1371/journal.pone.0229915. eCollection 2020.
For digital breast tomosynthesis (DBT) systems, we investigate the effects of the reconstruction filters for different data acquisition angles on signal detection. We simulated a breast phantom with a 30% volume glandular fraction (VGF) of breast anatomy using the power law spectrum and modeled the breast mass as a spherical object with a 1 mm diameter. Projection data were acquired using two different data acquisition angles and numbers of projection view pairs, and in-plane breast images were reconstructed using the Feldkamp-Davis-Kress (FDK) algorithm with three different reconstruction filter schemes. To measure the ability to detect a signal, we conducted the human observer study with a binary detection task and compared the signal detectability of human to that of channelized Hotelling observer (CHO) with Laguerre-Gauss (LG) channels and dense difference-of-Gaussian (D-DOG) channels. We also measured the contrast-to-noise ratio (CNR), signal power spectrum (SPS), and β values of the anatomical noise power spectrum (NPS) to show the association between human observer performance and these traditional metrics. Our results show that using a slice thickness (ST) filter degraded the signal detection performance of human observers at the same data acquisition angle. This could be predicted by D-DOG CHO with internal noise, but the correlation between the traditional metrics and signal detectability was not observed in this work.
对于数字乳腺断层合成（DBT）系统，我们研究了不同数据采集角度下的重建滤波器对信号检测的影响。我们使用幂律谱模拟了一个具有 30%体积腺体分数（VGF）的乳腺解剖结构的乳腺体模，并将乳腺组织建模为一个直径为 1 毫米的球形物体。使用两种不同的数据采集角度和投影视图对数量采集投影数据，并使用三种不同的重建滤波器方案使用 Feldkamp-Davis-Kress（FDK）算法重建平面内乳腺图像。为了衡量检测信号的能力，我们进行了二元检测任务的人类观察者研究，并比较了人类观察者和具有拉盖尔-高斯（LG）通道和密集差分高斯（D-DOG）通道的信道化霍特林观察者（CHO）的信号检测能力。我们还测量了对比度噪声比（CNR）、信号功率谱（SPS）和解剖噪声功率谱（NPS）的β值，以显示人类观察者性能与这些传统指标之间的关系。我们的结果表明，在相同的数据采集角度下，使用切片厚度（ST）滤波器会降低人类观察者的信号检测性能。这可以通过具有内部噪声的 D-DOG CHO 来预测，但在这项工作中没有观察到传统指标与信号检测能力之间的相关性。
