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在螺旋式和机器人辐射疗法中以人工智能 (AI) 驱动的自适应运动管理:创新,挑战和未来方向

Dhiren K Panda¹, Saurjya R Das¹, Shishir Kumar¹

¹Anatomy, Institute of Medical Sciences (IMS) & SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneswar, IND.

|May 5, 2025

概括

人工智能 (AI) 增强了运动适应性放射治疗 (ART) 以改善瘤跟踪和辐射输送. 人工智能技术比传统方法提供了更高的精度,尽管实时应用仍然存在挑战.

科学领域:

医学物理医学物理
放射治疗技术放射治疗技术
人工智能在医学中的应用

背景情况:

放射治疗中的传统运动管理 (例如,呼吸门,ITV扩张) 会导致更大的治疗边缘和更大的辐射暴露.
人工智能 (AI) 为实时瘤跟踪和适应性放射治疗 (ART) 提供了先进的解决方案.

研究的目的:

研究基于AI的运动指导技术,用于螺旋式断层疗法 (HT) 和CyberKnife机器人放射手术.
突出技术创新,工程挑战和AI在ART中的临床应用.

主要方法:

由人工智能驱动的实时运动跟踪和可变形图像记录 (DIR) 为优越的瘤定位.
在螺旋式断层疗法 (使用MVCT) 和CyberKnife (使用基于X射线的校正) 中AI集成的比较.

主要成果:

人工智能增强了瘤定位,自动剂量调节和ART中的实时成像集成.
螺旋式断层疗法使用MVCT进行分数内运动监测;CyberKnife使用机器人手臂校正以获得亚毫米精度.

结论:

人工智能显著提高了运动适应性放射治疗的准确性和效率.
需要进一步的研究来解决人工智能处理延迟,运动变化,并实现基于人工智能的完全自动化辐射传递系统.

关键词:

适应性放射疗法适应性放射疗法人工智能驱动的运动跟踪.网络刀运动管理可变形图像的注册变形图像的注册实时瘤跟踪实时瘤跟踪

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