DICOM-RT Ion interface to utilize MC simulations in routine clinical workflow for proton pencil beam radiotherapy.

DICOM-RT Ion interface to utilize MC simulations in routine clinical workflow for proton pencil beam radiotherapy.
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DOI:
10.1016/j.ejmp.2020.04.018
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发表时间:
2020-06
期刊:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
影响因子:
--
通讯作者:
Clasie B
Clasie B
中科院分区:
其他
文献类型:
--
作者:
Shin J;Kooy HM;Paganetti H;Clasie B

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采用蒙特卡罗(MC)模拟作为一种独立的质子笔形束放射治疗剂量计算方法,将DICOM格式的计划信息转换为MC组件(如几何形状和射束源)的接口是一个关键要素。为此,开发了DICOM-RT Ion接口(https://github.com/topasmc/dicom-interface),并将其集成到TOPAS MC代码中,以实时执行此类转换。该接口中使用的DICOM-RT对象包括离子计划(RTIP)、离子束治疗记录(RTIBTR)、CT图像和剂量。根据RTIP和/或RTIBTR确定射束线几何形状、机架和患者坐标系以及注量图。在该接口中,DICOM信息通过两个步骤处理并传送到MC引擎。通过接口的DICOM解析器创建了一个MC模型,该模型由射束线几何形状和射束源组成,用于表示治疗机。不同DICOM类型、各种射束线配置和源模型的复杂性在此步骤中得到处理。接下来,通过开发的TOPAS扩展将几何信息和光束源传输到TOPAS。这种与两台治疗机的接口已成功部署到我们的自动化MC工作流程中,当确定新计划时,自动提供患者或水模体中的模拟剂量和LET分布。开发的接口提供了新的功能,如处理多个治疗系统的基础上不同的DICOM类型,DICOM转换的飞行,灵活的采样方法,显着减少处理基于DICOM的计划或治疗记录信息的MC模拟的负担。
To adopt Monte Carlo (MC) simulations as an independent dose calculation method for proton pencil beam radiotherapy, an interface that converts the plan information in DICOM format into MC components such as geometries and beam source is a crucial element. For this purpose, a DICOM-RT Ion interface (https://github.com/topasmc/dicom-interface) has been developed and integrated into the TOPAS MC code to perform such conversions on-the-fly. DICOM-RT objects utilized in this interface include Ion Plan (RTIP), Ion Beams Treatment Record (RTIBTR), CT image, and Dose. Beamline geometries, gantry and patient coordinate systems, and fluence maps are determined from RTIP and/or RTIBTR. In this interface, DICOM information is processed and delivered to a MC engine in two steps. A MC model, which consists of beamline geometries and beam source, to represent a treatment machine is created by a DICOM parser of the interface. The complexities from different DICOM types, various beamline configurations and source models are handled in this step. Next, geometry information and beam source are transferred to TOPAS on-the-fly via the developed TOPAS extensions. This interface with two treatment machines was successfully deployed into our automated MC workflow which provides simulated dose and LET distributions in a patient or a water phantom automatically when a new plan is identified. The developed interface provides novel features such as handling multiple treatment systems based on different DICOM types, DICOM conversions on-the-fly, and flexible sampling methods that significantly reduce the burden of handling DICOM based plan or treatment record information for MC simulations.
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