Morato S, Garcia C, Juste B, Miro R, Verdu G
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:560-563. doi: 10.1109/EMBC.2017.8036886.
The purpose of this work is to develop an automatic methodology to obtain the dose received by a patient, (classified by organs), after being subjected to ionizing radiation because of CT images acquisition. The methodology starts from CT images, these images are automatically segmented and voxelized taking into account the CT numbers in order to obtain a 3D model used in Monte Carlo Simulations to calculate the dose inside the patient.Monte Carlo codes used in this work are MCNP.6.1.1, (whose results will be taken as a reference values) and MC-GPU, which appears to be a good candidate to be implemented in the methodology since his GPU parallelization offers a high speed calculation. Results show good agreement between simulated values obtained by MC-GPU and MCNP6.1.1.
这项工作的目的是开发一种自动方法,用于获取患者在因CT图像采集而受到电离辐射后(按器官分类)所接受的剂量。该方法从CT图像开始,这些图像会根据CT值进行自动分割和体素化,以获得用于蒙特卡罗模拟的3D模型,从而计算患者体内的剂量。本工作中使用的蒙特卡罗代码是MCNP.6.1.1(其结果将作为参考值)和MC-GPU,由于其GPU并行化提供了高速计算,MC-GPU似乎是该方法中一个很好的实施候选方案。结果表明,MC-GPU和MCNP6.1.1获得的模拟值之间具有良好的一致性。