Optimized generation of high resolution breast anthropomorphic software phantoms
Optimized generation of high resolution breast anthropomorphic software phantoms
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DOI：
10.1118/1.3697523
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发表时间：
2012-04-01
期刊：
影响因子：
3.8
通讯作者：
Bakic, Predrag R.
中科院分区：
文献类型：
--
作者：
Pokrajac, David D.;Maidment, Andrew D. A.;Bakic, Predrag R.
目的：提出一种高空间分辨率的拟人化软件乳房模型生成方法。新的乳房解剖模拟方法采用了与以前的乳腺解剖模拟算法相同的区域生长原理，针对计算复杂性进行了优化，以允许快速生成乳房成像虚拟临床试验中所需的大量模型。方法：新的乳房解剖模拟方法直接计算库珀韧带(即模拟脂肪间隔之间的边界)。该计算对应于最大后验概率分类器的二次判决边界。由于使用了基于八叉树的幻影卷递归分区，该方法是多尺度的。该方法还允许用户控制模拟的库珀韧带和皮肤的厚度。结果：使用该方法，作者已经生成了体素大小在(25-1000微米)(3)/体素范围内的体素。模拟时间与倒数体素大小的幂回归得到的对数对数斜率为1.95(而我们以前的区域生长算法的斜率为4.53)。结论：提出了一种新的计算机模拟乳腺解剖的算法，可以快速生成高分辨率的拟人软件体模。(C)2012年美国医学物理学家协会。[http://dx.doi.org/10.1118/1.3697523]
Purpose: 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.Methods: 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.Results: Using the proposed method, the authors have generated phantoms with voxel size in the range of (25-1000 mu m)(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).Conclusions: A new algorithm for computer simulation of breast anatomy has been proposed that allows for fast generation of high resolution anthropomorphic software phantoms. (C) 2012 American Association of Physicists in Medicine. [http://dx.doi.org/10.1118/1.3697523]