A simulation framework for preclinical proton irradiation workflow.

IF 3.3 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Justin Malimban, Felix Ludwig, Danny Lathouwers, Marius Staring, Frank Verhaegen, Sytze Brandenburg
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引用次数: 0

Abstract

Objective.The integration of proton beamlines with x-ray imaging/irradiation platforms has opened up possibilities for image-guided Bragg peak irradiations in small animals. Such irradiations allow selective targeting of normal tissue substructures and tumours. However, their small size and location pose challenges in designing experiments. This work presents a simulation framework useful for optimizing beamlines, imaging protocols, and design of animal experiments. The usage of the framework is demonstrated, mainly focusing on the imaging part.Approach.The fastCAT toolkit was modified with Monte Carlo (MC)-calculated primary and scatter data of a small animal imager for the simulation of micro-CT scans. The simulated CT of a mini-calibration phantom from fastCAT was validated against a full MC TOPAS CT simulation. A realistic beam model of a preclinical proton facility was obtained from beam transport simulations to create irradiation plans in matRad. Simulated CT images of a digital mouse phantom were generated using single-energy CT (SECT) and dual-energy CT (DECT) protocols and their accuracy in proton stopping power ratio (SPR) estimation and their impact on calculated proton dose distributions in a mouse were evaluated.Main results.The CT numbers from fastCAT agree within 11 HU with TOPAS except for materials at the centre of the phantom. Discrepancies for central inserts are caused by beam hardening issues. The root mean square deviation in the SPR for the best SECT (90 kV/Cu) and DECT (50 kV/Al-90 kV/Al) protocols are 3.7% and 1.0%, respectively. Dose distributions calculated for SECT and DECT datasets revealed range shifts <0.1 mm, gamma pass rates (3%/0.1 mm) greater than 99%, and no substantial dosimetric differences for all structures. The outcomes suggest that SECT is sufficient for proton treatment planning in animals.Significance.The framework is a useful tool for the development of an optimized experimental configuration without using animals and beam time.

临床前质子辐照工作流程的模拟框架。
目的: 质子束线与 X 射线成像/辐照平台的整合为在图像引导下对小动物进行布拉格峰辐照提供了可能。这种辐照可以选择性地靶向正常组织结构和肿瘤。然而,它们的小尺寸和位置给实验设计带来了挑战。这项工作提出了一个模拟框架,可用于优化光束线、成像方案和动物实验设计。方法: 使用蒙特卡罗(MC)计算的小型动物成像仪的主数据和散射数据对 fastCAT 工具包进行了修改,以模拟微型 CT 扫描。fastCAT 模拟的微型校准模型 CT 与完整的 MC TOPAS CT 模拟进行了验证。临床前质子设施的逼真射束模型是从射束传输模拟中获得的,用于在 matRad 中创建辐照计划。使用单能 CT (SECT) 和双能 CT (DECT) 方案生成了数字小鼠模型的模拟 CT 图像,并评估了它们在质子停止功率比 (SPR) 估算中的准确性及其对计算出的小鼠质子剂量分布的影响。中心插入物的差异是由光束硬化问题造成的。最佳 SECT(90kV/Cu)和 DECT(50kV/Al-90kV/Al)方案的 SPR 均方根偏差分别为 3.7% 和 1.0%。为 SECT 和 DECT 数据集计算的剂量分布显示了范围偏移
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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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