Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada.
Phys Med Biol. 2010 Jun 7;55(11):3027-44. doi: 10.1088/0031-9155/55/11/003. Epub 2010 May 12.
The purpose of this study was to evaluate the performance of an algorithm used to measure the volumetric breast density (VBD) from digital mammograms. The algorithm is based on the calibration of the detector signal versus the thickness and composition of breast-equivalent phantoms. The baseline error in the density from the algorithm was found to be 1.25 +/- 2.3% VBD units (PVBD) when tested against a set of calibration phantoms, of thicknesses 3-8 cm, with compositions equivalent to fibroglandular content (breast density) between 0% and 100% and under x-ray beams between 26 kVp and 32 kVp with a Rh/Rh anode/filter. The algorithm was also tested against images from a dedicated breast computed tomography (CT) scanner acquired on 26 volunteers. The CT images were segmented into regions representing adipose, fibroglandular and skin tissues, and then deformed using a finite-element algorithm to simulate the effects of compression in mammography. The mean volume, VBD and thickness of the compressed breast for these deformed images were respectively 558 cm(3), 23.6% and 62 mm. The displaced CT images were then used to generate simulated digital mammograms, considering the effects of the polychromatic x-ray spectrum, the primary and scattered energy transmitted through the breast, the anti-scatter grid and the detector efficiency. The simulated mammograms were analyzed with the VBD algorithm and compared with the deformed CT volumes. With the Rh/Rh anode filter, the root mean square difference between the VBD from CT and from the algorithm was 2.6 PVBD, and a linear regression between the two gave a slope of 0.992 with an intercept of -1.4 PVBD and a correlation with R(2) = 0.963. The results with the Mo/Mo and Mo/Rh anode/filter were similar.
本研究旨在评估一种用于从数字乳腺 X 光片中测量体积乳腺密度(VBD)的算法的性能。该算法基于对探测器信号与乳腺等效体模的厚度和组成进行校准。在对一组厚度为 3-8 厘米、具有相当于纤维腺体含量(乳腺密度)为 0%至 100%的组成的校准体模进行测试时,发现该算法的密度基线误差为 1.25 +/- 2.3% VBD 单位(PVBD),X 射线束分别为 26 kVp 和 32 kVp,采用 Rh/Rh 阳极/滤光器。该算法还针对 26 名志愿者专用乳腺计算机断层扫描(CT)扫描仪获得的图像进行了测试。CT 图像被分割成代表脂肪、纤维腺体和皮肤组织的区域,然后使用有限元算法对其进行变形,以模拟在乳腺 X 光摄影中的压缩效果。这些变形图像的平均体积、VBD 和压缩乳房的厚度分别为 558cm(3)、23.6%和 62mm。然后使用这些移位的 CT 图像生成模拟数字乳腺 X 光片,考虑多色 X 射线光谱、通过乳房传输的初级和散射能量、防散射格栅和探测器效率的影响。分析了模拟的乳腺 X 光片,并与变形的 CT 体积进行了比较。使用 Rh/Rh 阳极滤光器,CT 和算法得出的 VBD 的均方根差为 2.6 PVBD,两者之间的线性回归斜率为 0.992,截距为-1.4 PVBD,相关系数为 R(2)=0.963。使用 Mo/Mo 和 Mo/Rh 阳极/滤光器的结果相似。