Computer and Information Sciences Department, Delaware State University, Dover, DE 19901, USA.
Med Phys. 2012 Apr;39(4):2290-302. doi: 10.1118/1.3697523.
The authors present an efficient method for generating anthropomorphic software breast phantoms with high spatial resolution. Employing the same region growing principles as in their previous algorithm for breast anatomy simulation, the present method has been optimized for computational complexity to allow for fast generation of the large number of phantoms required in virtual clinical trials of breast imaging.
The new breast anatomy simulation method performs a direct calculation of the Cooper's ligaments (i.e., the borders between simulated adipose compartments). The calculation corresponds to quadratic decision boundaries of a maximum a posteriori classifier. The method is multiscale due to the use of octree-based recursive partitioning of the phantom volume. The method also provides user-control of the thickness of the simulated Cooper's ligaments and skin.
Using the proposed method, the authors have generated phantoms with voxel size in the range of (25-1000 μm)(3)∕voxel. The power regression of the simulation time as a function of the reciprocal voxel size yielded a log-log slope of 1.95 (compared to a slope of 4.53 of our previous region growing algorithm).
A new algorithm for computer simulation of breast anatomy has been proposed that allows for fast generation of high resolution anthropomorphic software phantoms.
作者提出了一种高效的方法，用于生成具有高空间分辨率的拟人软件乳房体模。本方法采用与作者先前用于乳房解剖模拟的区域生长算法相同的原则，针对计算复杂性进行了优化，以便能够快速生成虚拟临床试验中所需的大量乳房体模。
新的乳房解剖模拟方法直接计算 Cooper 韧带（即模拟脂肪隔之间的边界）。该计算对应于最大后验概率分类器的二次决策边界。由于使用了基于八叉树的体模体积递归分区，该方法具有多尺度性。该方法还提供了对模拟 Cooper 韧带和皮肤厚度的用户控制。
使用所提出的方法，作者生成了体素大小在（25-1000μm）³/体素范围内的体模。模拟时间的幂回归作为体素大小倒数的函数，得到的对数-对数斜率为 1.95（而我们之前的区域生长算法的斜率为 4.53）。
提出了一种新的用于乳房解剖计算机模拟的算法，该算法允许快速生成高分辨率拟人软件体模。
