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Preliminary evaluation of surface mesh modeling of system geometry, anatomy phantom, and source activity for GATE simulations

机译：系统几何，解剖学幻像和浇筑浇筑术争活动的表面网格建模初步评价

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Simulation studies have been essential for development of SPECT imaging systems. GATE is one of the most commonly used simulation toolkits in nuclear medicine. This software package allows the users to build system geometries and phantoms based on primitive objects such as cylinder, sphere, and cube. However, modeling systems with complex geometry is challenging, if not impossible using these primitive volumes. The latest GATE release addressed this issue by allowing the users to import surface meshes created in a computer aided design software thus enabling accurate simulation of complex system or phantom geometries. In this study we present our GATE mesh-based simulations of a next-generation multi-pinhole SPECT system for the clinical brain imaging, called AdaptiSPECT-C. An additional challenge with the AdaptiSPECT-C is that the volume of the standard voxelized XCAT phantom overlaps with the spherical collimator plate. In order to address this issue, we developed a mesh modeling of the XCAT human phantom by directly using the native XCAT nurbs data, which also provided a more accurate representation of the anatomy. Two approaches for simulating mesh-based activity source were developed and evaluated. The first method consisted of using an acceptance/rejection criterion confining a cubical source into the mesh object and the second one was based on a conversion of a mesh-based volume into a voxelized object. Although the two strategies led to very similar results, the voxelized-mesh approach was significantly faster in computation time. We successfully imported and simulated in GATE a complete SPECT acquisition incorporating an STL representation of system, phantom anatomy, and activity source.
机译：模拟研究一直是SPECT成像系统的发展至关重要。 GATE是在核医学中最常用的模拟工具包之一。该软件包允许用户基于原始对象，如圆柱形，球形，立方体和构建系统的几何形状和幻像。然而，具有复杂几何形状建模系统是具有挑战性的，如果不是不可能使用这些原始卷。最新发布GATE通过允许用户在计算机辅助设计软件创建的进口表面网格从而使复杂的系统或假体的几何精确的仿真解决了这个问题。在这项研究中，我们提出我们的大门网格为基础的下一代多针孔SPECT系统的仿真用于临床脑成像，称为AdaptiSPECT-C。与AdaptiSPECT-C的另一个挑战是，该标准的体积体素化XCAT幻象重叠与球面准直器板。为了解决这个问题，我们开发了一个网格，直接利用本地XCAT NURBS数据，这也提供了解剖学的更准确的表示建模XCAT人的幻影。模拟基于网格的活动源两种方法开发和评估。第一种方法包括使用接受/拒绝标准限制立方体源到网状物，第二个是基于一个转换基于网格的体积的成体素化的对象。虽然导致了非常相似的结果两种策略中，体元化目方法是显著计算时间更快。我们成功导入，并在GATE模拟一个完整的SPECT收购合并系统，幻影解剖和活动源的STL表示。

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