Bakic Predrag R, Albert Michael, Brzakovic Dragana, Maidment Andrew D A
Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, Pennsylvania 19104, USA.
Med Phys. 2003 Jul;30(7):1914-25. doi: 10.1118/1.1586453.
A method is proposed for realistic simulation of the breast ductal network as part of a computer three-dimensional (3-D) breast phantom. The ductal network is simulated using tree models. Synthetic trees are generated based upon a description of ductal branching by ramification matrices (R matrices), whose elements represent the probabilities of branching at various levels of a tree. We simulated the ductal network of the breast, consisting of multiple lobes, by random binary trees (RBT). Each lobe extends from the ampulla and consists of branching ductal segments of decreasing size, and the associated terminal ductal-lobular units. The lobes follow curved paths that project from the nipple toward the chest wall. We have evaluated the RBT model by comparing manually-traced ductal networks from 25 projections of ductal lobes in clinical galactograms and manually-traced networks from 23 projections of synthetic RBTs. A root-mean-square (rms) fractional error of 41%, between the R-matrix elements corresponding to clinical and synthetic images, was computed. This difference was influenced by projection and segmentation artifacts and by the limited number of available images. In addition, we analyzed 23 synthetic trees generated using R matrices computed from clinical images. A comparison of these synthetic and clinical images yielded a rms fractional error of 11%, suggesting the possibility that a more appropriate model of the ductal branching morphology may be developed. Rejection of the RBT model also suggests the existence of a relationship between ductal branching morphology and the state of mammary developmentand pathology.
本文提出了一种方法,用于对乳腺导管网络进行逼真模拟,作为计算机三维(3-D)乳腺体模的一部分。导管网络使用树形模型进行模拟。基于分支矩阵(R矩阵)对导管分支的描述生成合成树,其元素表示树在各个层次上分支的概率。我们通过随机二叉树(RBT)模拟了由多个叶组成的乳腺导管网络。每个叶从壶腹延伸,由尺寸逐渐减小的分支导管段以及相关的终末导管小叶单位组成。叶沿着从乳头向胸壁突出的弯曲路径分布。我们通过比较临床乳腺造影片中25个导管叶投影的手动追踪导管网络和23个合成RBT投影的手动追踪网络,对RBT模型进行了评估。计算得出临床图像和合成图像对应的R矩阵元素之间的均方根(rms)分数误差为41%。这种差异受到投影和分割伪影以及可用图像数量有限的影响。此外,我们分析了使用从临床图像计算得到的R矩阵生成的23棵合成树。这些合成图像与临床图像的比较得出均方根分数误差为11%,这表明可能可以开发出更合适的导管分支形态模型。对RBT模型的否定也表明导管分支形态与乳腺发育状态和病理之间存在关联。