A computer simulation platform for the optimization of a breast tomosynthesis system.
A computer simulation platform for the optimization of a breast tomosynthesis system.
复制标题
用于优化乳腺断层合成系统的计算机模拟平台。
DOI：
10.1118/1.2558160
复制
发表时间：
2007
期刊：
影响因子：
3.8
通讯作者：
Zhao,Wei
中科院分区：
文献类型：
--
作者：
Zhou,Jun;Zhao,Bo;Zhao,Wei
在乳腺断层合成摄影中，对于给定的腺体剂量，在分辨率、噪声和采集速度之间存在折衷。本工作的目的是开发一个模拟平台，以调查潜在的成像性能的许多可能的断层合成系统配置。该仿真平台被用来调查的依赖性的图像模糊和信号差噪声比（SDNR）的几种不同的断层合成采集配置。根据探测器的调制传递函数（MTF），有或没有像素合并的倾斜细钨丝放置在不同的对象平面的模拟投影进行修改。此外，焦斑模糊（FSB），这取决于电线的位置，系统的几何形状，源探测器的移动速度，和曝光时间，也被纳入到投影。基于期望最大化（EM）和滤波反投影（FBP）的算法都用于3D图像重建。根据导丝的重建图像计算面内MTF。为了评估噪声性能，使用噪声功率谱（SNR）对均匀乳腺组织中钙化和肿瘤的模拟无噪声投影进行了修改，噪声功率谱（SNR）是根据给定X射线剂量下探测器的级联线性系统模型计算的。使用不同的断层合成配置计算重建图像的SDNR，例如，像素装仓、视图编号和角度范围。我们的结果表明，对于源到成像器的距离（SID），像素合并导致的面内MTF退化比移动焦斑和重建造成的模糊更严重。可以通过增加角度范围来提高深度分辨率。
In breast tomosynthesis there is a compromise between resolution, noise, and acquisition speed for a given glandular dose. The purpose of the present work is to develop a simulation platform to investigate the potential imaging performance for the many possible tomosynthesis system configurations. The simulation platform was used to investigate the dependence of image blur and signal difference to noise ratio (SDNR) for several different tomosynthesis acquisition configurations. Simulated projections of a slanted thin tungsten wire placed in different object planes were modified according to the detector's modulation transfer function (MTF), with or without pixel binning. In addition, the focal spot blur (FSB), which depends on the location of the wire, the system geometry, the source‐detector movement speed, and the exposure time, was also incorporated into the projections. Both expectation maximization (EM) and filtered back projection (FBP) based algorithms were used for 3D image reconstruction. The in‐plane MTF was calculated from the reconstructed image of the wire. To evaluate the noise performance, simulated noiseless projections of calcification and tumor in uniform breast tissue were modified with the noise power spectrum (NPS) calculated from a cascaded linear system model for the detector for a given x‐ray dose. The SDNR of the reconstructed images was calculated with different tomosynthesis configurations, e.g., pixel binning, view number, and angular range. Our results showed that for a source‐to‐imager distance (SID) of , pixel binning caused more degradation to the in‐plane MTF than the blur caused by the moving focal spot and reconstruction. The in‐depth resolution can be improved by increasing the angular range.