EMRECON: An expectation maximization based image reconstruction framework for emission tomography data
EMRECON: An expectation maximization based image reconstruction framework for emission tomography data
复制标题
EMRECON：基于期望最大化的发射断层扫描数据图像重建框架
DOI：
10.1109/nssmic.2011.6153840
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
F. Wubbeling
中科院分区：
文献类型：
--
作者：
T. Kosters;K. Schafers;F. Wubbeling
我们提出了一个灵活的图像重建框架的发射断层扫描数据称为EMRECON。该软件包括多个基于期望最大化的重建算法，以及对几种扫描仪几何形状的支持。为了实现新的重建技术（例如基于TV的正则化或组合重建和运动校正）或扫描仪模型，对重建管道的每个阶段的完全访问至关重要。EMrecon是完全开放的，并且有良好的文档记录，因此允许测试，而无需关心数据格式或标准重建和数据校正算法。由于类似GATE的语法，新的扫描仪几何形状，包括每个单晶的精确定义，可以很容易地添加。并行（多核）C实现已在多个Linux发行版上成功测试。这使得EMRECON成为开发新重建算法的有用工具，也可以作为测试不同扫描仪几何形状的平台。
We present a flexible image reconstruction framework for emission tomography data called EMRECON. The software includes multiple expectation maximization based reconstruction algorithms as well as support for several scanner geometries. In order to implement novel reconstruction techniques (e.g. TV-based regularization or combined reconstruction and motion correction) or scanner models, full access to every stage of the reconstruction pipeline is vital. EMrecon is fully open and well-documented, thus permits testing without the need to care about data formats or standard reconstruction and data correction algorithms. Due to the GATE-like syntax new scanner geometries, including an exact definition of each single crystal, can be added easily. The parallel (multi-core) C implementation was successfully tested on several Linux distributions. This makes EMRECON a useful tool for the development of new reconstruction algorithms and also serves as a platform for testing different scanner geometries.
影响因子：
3.8
作者：
SIDDON, RL
通讯作者：
SIDDON, RL