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Use of the FLUKA Monte Carlo code for 3D patient-specific dosimetry on PET-CT and SPECT-CT images

机译:将FLUKA蒙特卡洛代码用于PET-CT和SPECT-CT图像上的3D患者特定剂量测定

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摘要

Patient-specific absorbed dose calculation for nuclear medicine therapy is a topic of increasing interest. 3D dosimetry at the voxel level is one of the major improvements for the development of more accurate calculation techniques, as compared to the standard dosimetry at the organ level. This study aims to use the FLUKA Monte Carlo code to perform patient-specific 3D dosimetry through direct Monte Carlo simulation on PET-CT and SPECT-CT images. To this aim, dedicated routines were developed in the FLUKA environment. Two sets of simulations were performed on model and phantom images. Firstly, the correct handling of PET and SPECT images was tested under the assumption of homogeneous water medium by comparing FLUKA results with those obtained with the voxel kernel convolution method and with other Monte Carlo-based tools developed to the same purpose (the EGS-based 3D-RD software and the MCNP5-based MCID). Afterwards, the correct integration of the PET/SPECT and CT information was tested, performing direct simulations on PET/CT images for both homogeneous (water) and non-homogeneous (water with air, lung and bone inserts) phantoms.
机译:用于核医学治疗的患者特定的吸收剂量计算是一个越来越引起人们关注的话题。与器官水平的标准剂量相比,体素水平的3D剂量测定是开发更精确的计算技术的主要改进之一。这项研究旨在使用FLUKA蒙特卡洛代码通过在PET-CT和SPECT-CT图像上进行直接蒙特卡洛模拟来执行针对患者的3D剂量测定。为此,在FLUKA环境中开发了专用的例程。在模型和幻影图像上进行了两组模拟。首先,在均质水介质的假设下,通过将FLUKA结果与通过体素核卷积​​方法以及为相同目的开发的其他基于Monte Carlo的工具获得的结果进行比较,测试了PET和SPECT图像的正确处理3D-RD软件和基于MCNP5的MCID)。之后,测试了PET / SPECT和CT信息的正确整合,并在PET / CT图像上对均质(水)和非均质(具有空气,肺部和骨骼插入物的水)体模进行了直接模拟。

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