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使用动态重建和运动估计方法进行预先调整的渐进时间解析CBCT重建

Ruizhi Zuo, Hua-Chieh Shao, You Zhang

|September 26, 2025

概括

这项研究介绍了DREME-adapt,这是一种用于时间解析圆束CT (CBCT) 重建的快速框架,通过适应患者运动来提高放射治疗图像指导的准确性和效率.

科学领域:

医学物理医学物理
放射治疗技术放射治疗技术
图像重建图像的重建

背景情况:

圆束CT (CBCT) 对于放射治疗图像指导至关重要,但与运动工件扎.
呼吸诱导运动需要时间解析的CBCT来准确的时空解剖捕获.
目前的方法在重建准确性和效率方面面临挑战.

研究的目的:

开发一个快速准确的时间解决的CBCT重建框架.
整合基于机器学习的运动建模,以改善图像指导.
提高动态重建和运动估计方法的临床适用性.

主要方法:

拟议的DREME-adapt:一个具有自适应初始化的动态重建和运动估计框架.
从分数CBCT扫描中重建时间解析的CBCT序列.
创建了一个基于机器学习的运动模型,用于治疗内CBCT估计和运动跟踪.
用于冷启动和热启动策略的虚拟分数用于随后的分数.

主要成果:

通过DREME-adapt证明了快速而准确的时间解析的CBCT重建.
在幻影和患者数据上评估了三个策略 (DREME-cs,DREME-adapt-vfx,DREME-adapt-pro).
该框架成功地整合了运动建模以改善指导.

结论:

在时间解析的CBCT重建中,DREME-adapt提供了显著的进步.
该框架提高了准确性和效率,解决了放射治疗中的关键挑战.
这项技术有可能在图像引导放射治疗中得到更广泛的临床采用.

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