Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030-4009, USA. xliumdanderson.org
Med Phys. 2011 Dec;38(12):6489-501. doi: 10.1118/1.3659709.
The scan equalization digital mammography (SEDM) technique combines slot scanning and exposure equalization to improve low-contrast performance of digital mammography in dense tissue areas. In this study, full-field digital mammography (FFDM) images of an anthropomorphic breast phantom acquired with an anti-scatter grid at various exposure levels were superimposed to simulate SEDM images and investigate the improvement of low-contrast performance as quantified by primary signal-to-noise ratios (PSNRs).
We imaged an anthropomorphic breast phantom (Gammex 169 "Rachel," Gammex RMI, Middleton, WI) at various exposure levels using a FFDM system (Senographe 2000D, GE Medical Systems, Milwaukee, WI). The exposure equalization factors were computed based on a standard FFDM image acquired in the automatic exposure control (AEC) mode. The equalized image was simulated and constructed by superimposing a selected set of FFDM images acquired at 2, 1, 1/2, 1/4, 1/8, 1/16, and 1/32 times of exposure levels to the standard AEC timed technique (125 mAs) using the equalization factors computed for each region. Finally, the equalized image was renormalized regionally with the exposure equalization factors to result in an appearance similar to that with standard digital mammography. Two sets of FFDM images were acquired to allow for two identically, but independently, formed equalized images to be subtracted from each other to estimate the noise levels. Similarly, two identically but independently acquired standard FFDM images were subtracted to estimate the noise levels. Corrections were applied to remove the excess system noise accumulated during image superimposition in forming the equalized image. PSNRs over the compressed area of breast phantom were computed and used to quantitatively study the effects of exposure equalization on low-contrast performance in digital mammography.
We found that the highest achievable PSNR improvement factor was 1.89 for the anthropomorphic breast phantom used in this study. The overall PSNRs were measured to be 79.6 for the FFDM imaging and 107.6 for the simulated SEDM imaging on average in the compressed area of breast phantom, resulting in an average improvement of PSNR by ∼35% with exposure equalization. We also found that the PSNRs appeared to be largely uniform with exposure equalization, and the standard deviations of PSNRs were estimated to be 10.3 and 7.9 for the FFDM imaging and the simulated SEDM imaging, respectively. The average glandular dose for SEDM was estimated to be 212.5 mrad, ∼34% lower than that of standard AEC-timed FFDM (323.8 mrad) as a result of exposure equalization for the entire breast phantom.
Exposure equalization was found to substantially improve image PSNRs in dense tissue regions and result in more uniform image PSNRs. This improvement may lead to better low-contrast performance in detecting and visualizing soft tissue masses and micro-calcifications in dense tissue areas for breast imaging tasks.
扫描均衡数字乳腺摄影术(SEDM)技术结合了狭缝扫描和曝光均衡,以提高数字乳腺摄影在致密组织区域的低对比度性能。在这项研究中,通过在各种曝光水平下使用防散射格栅对人体乳腺模型的全视野数字乳腺摄影(FFDM)图像进行叠加,模拟了 SEDM 图像,并通过主信噪比(PSNR)定量研究了低对比度性能的改善。
我们使用 FFDM 系统(Senographe 2000D,GE Medical Systems,Milwaukee,WI)对人体乳腺模型(Gammex 169“Rachel”,Gammex RMI,Middleton,WI)进行了各种曝光水平的成像。基于在自动曝光控制(AEC)模式下获得的标准 FFDM 图像计算了曝光均衡因子。通过将一组选定的在 2、1、1/2、1/4、1/8、1/16 和 1/32 倍曝光水平下获得的 FFDM 图像叠加到标准 AEC 定时技术(125 mAs)上,并使用为每个区域计算的均衡因子,模拟并构建均衡图像。最后,通过使用均衡因子对均衡图像进行区域性重新归一化,使其外观类似于标准数字乳腺摄影。获取了两组 FFDM 图像,允许从彼此中减去两个相同但独立形成的均衡图像,以估计噪声水平。同样,从两个相同但独立获取的标准 FFDM 图像中减去以估计噪声水平。在形成均衡图像的过程中,对图像叠加过程中累积的系统噪声进行了校正。计算了乳腺模型压缩区域的 PSNR,并用于定量研究曝光均衡对数字乳腺摄影中低对比度性能的影响。
我们发现,对于本研究中使用的人体乳腺模型,可实现的最高 PSNR 改善因子为 1.89。在乳腺模型的压缩区域中,FFDM 成像的总体 PSNR 平均为 79.6,模拟的 SEDM 成像的 PSNR 平均为 107.6,平均提高了 35%左右。我们还发现,PSNR 似乎在很大程度上是均匀的,FFDM 成像的 PSNR 标准偏差估计为 10.3,模拟的 SEDM 成像的 PSNR 标准偏差估计为 7.9。由于整个乳腺模型的曝光均衡,SEDM 的平均腺体剂量估计为 212.5 mrad,比标准 AEC 定时 FFDM(323.8 mrad)低 34%。
发现曝光均衡可显著提高致密组织区域的图像 PSNR,并使图像 PSNR 更加均匀。这种改进可能会导致在乳腺成像任务中检测和可视化致密组织区域中的软组织肿块和微钙化方面具有更好的低对比度性能。