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在MRI导向放射治疗中实时运动管理:当前状态和支持AI的前景

Elia Lombardo¹, Jennifer Dhont², Denis Page³

¹Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

|October 28, 2023

概括

磁力共振成像指导放射治疗 (MRIgRT) 能够在治疗期间实时适应患者的运动. 本文探讨了包括人工智能在内的部分内运动管理策略,以确保准确的剂量和尽量减少治疗时间.

科学领域:

医学物理医学物理
放射治疗技术放射治疗技术
以图像为指导的干预措施

背景情况:

磁力共振成像指导放射疗法 (MRIgRT) 提供适应性治疗能力,用于内部和内部断片解剖变化.
控制分数内运动对于保持MRIgRT中剂量准确性至关重要.

研究的目的:

在MRIgRT中概述MRIgRT中的分数内运动管理的工作流程.
审查当前临床和研究层面的解决方案,以实时运动适应.
突出人工智能 (AI) 在解决运动诱导的剂量错误方面的潜力.

主要方法:

审查用于分数内运动检测的成像技术.
在MRIgRT期间分析光束适应策略.
探索基于人工智能的算法,用于实时剂量补偿.

主要成果:

目前的MRIgRT系统允许在治疗期间适应解剖学变化.
未来的工作流程是为运动诱导的剂量错误的3D补偿提出的.
人工智能解决方案显示出快速准确的实时适应的前景.

结论:

有效的分数内运动管理对于精确的MRIgRT至关重要.
人工智能为实时适应提供了可行的解决方案,提高了治疗的准确性和效率.
拟议的工作流程旨在尽量减少治疗时间,同时确保最佳剂量递送.

关键词:

在这里,我们可以看到AIAIAI.在分数内部的动作.通过MRI-linac进行核磁共振.运动估计运动估计运动预测运动预测瘤追踪器可以追踪瘤.

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