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一种灰度压缩方法来分割骨结构,用于2D-3D记录非共平面放射治疗中的设置图像

Zhiyue Song¹, Tantan Li¹, Lijing Zuo¹

¹Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China.

Biomedical physics & engineering express

|March 5, 2024

概括

这项研究引入了一种使用灰度压缩的自动化2D-3D骨记录算法,以准确测量非共平线放射治疗中的患者位置错误,实现高精度.

科学领域:

医学物理医学物理
放射治疗技术放射治疗技术
图像注册图像注册图像注册

背景情况:

准确的患者定位在非共平面放射治疗中至关重要,以确保精确的辐射输送.
验证患者设置的传统方法可能耗时,可能缺乏精度.
自动图像注册为提高放射治疗的精度和效率提供了潜在的解决方案.

研究的目的:

开发和评估一个自动化的2D-3D骨记录算法,用于量化患者的位置错误.
评估一种新的灰度压缩方法的性能,用于对门户图像中的骨结构进行细分.
为了验证算法的准确性在非共平面辐射疗法场景.

主要方法:

开发了一个自动化的2D-3D注册算法,结合了灰度压缩技术来分割骨结构.
仅包含骨结构的门户图像 (Portalbone) 和数字重建的放射图 (DRRbone) 被用于注册.
该方法涉及高通过,门户图像的灰度压缩和值,以获得Portalbone和DRRbone进行注册和验证.

主要成果:

算法实现的平均绝对注册误差低至0.574毫米,不同的灰度压缩范围.
准确性验证表明,在不同的沙发角度中,平均绝对误差在0.694毫米至0.873毫米之间.
在垂直方向的翻译错误被确定为注册错误的主要贡献者,在所有患者病例中成功视觉验证.

结论:

灰度压缩方法在门户图像中有效地增强和分割骨结构.
自动化的2D-3D注册算法准确地确定非共平面放射治疗中的患者设置错误.
这种技术有望提高放射治疗中患者定位验证的精度和效率.

关键词:

2D-3D注册登记是什么意思骨提取骨提取骨提取非共平面辐射疗法.设置验证设置验证

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