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Performance evaluation of scatter modeling of the GPU-based #x201C;Tera-Tomo#x201D; 3D PET reconstruction

机译:基于GPU的“TERA-TOMO”三维宠物重建分散建模性能评价

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In positron emission tomography (PET), photon scattering inside the body causes significant blurring and quantification error in the reconstructed images. To solve this problem we have developed Monte Carlo (MC) based 3D PET reconstruction algorithms implemented on the Graphics Processing Unit (GPU). Our implementation takes multiple Compton scattering into account without any significant additional cost. The performance of the scatter correction is evaluated using GATE simulation as well as by comparing reconstruction results of Tera-Tomo to the reference reconstruction implementation of the Philips Gemini TOF PET which applies attenuation correction and single scatter simulation (SSS) for scatter correction. The comparative reconstruction results are based on the NEMA NU2-2007 image quality phantom.
机译:在正电子发射断层扫描(PET)中,体内的光子散射导致重建图像中的显着模糊和量化误差。为了解决这个问题,我们开发了在图形处理单元(GPU)上实现的基于Monte Carlo(MC)的3D PET重建算法。我们的实施考虑到了多个康普顿散射,没有任何重大的额外费用。使用门仿真评估散射校正的性能,以及将TERA-TOMO的重建结果与Philips Gemini Tof PET的参考重建实现进行比较,这适用于散射校正的衰减校正和单散散仿真(SSS)。比较重建结果基于NEMA Nu2-2007图像质量幻像。

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