由合成计算机断层扫描产生的质子范围的不确定性,由盆腔磁共振成像深度学习生成
1Department of Physics, TU Dortmund University, Dortmund, Germany.
Acta oncologica (Stockholm, Sweden)
|September 13, 2023
概括
来自MRI的合成CT (sCT) 显示了对质子治疗剂量计算的低随机误差. 然而,系统性错误需要进一步调查可靠的MRI-only工作流程.
科学领域:
- 医学物理 医学物理
- 辐射疗法 辐射疗法
- 医疗成像医学成像
背景情况:
- 在使用由MRI衍生的合成CT (sCT) 时,质子疗法剂量计算受到争议.
- 只有MRI的工作流可以减少注册错误,但引入sCT生成错误.
- 本研究评估了用于sCT生成的深度学习模型 (pix2pix) 的错误.
研究的目的:
- 使用深度学习模型调查sCT生成中的系统和随机模型错误.
- 评估这些错误对质子剂量计算的影响.
- 为了确定sCT用于MRI-only质子疗法的可行性.
主要方法:
- 使用了19名盆腔癌患者的开源数据集.
- 在真实CT和生成的sCT上模拟质子笔束 (200 MeV).
- 用50个随机sCT样本进行错误估计的蒙特卡洛 (MC) 失业者.
主要成果:
- 随机sCT错误在身体边缘 (∼200 HU) 比在软组织 (<10 HU) 中更高.
- 对于sCT,平均绝对误差为49 HU (全身),191 HU (骨头) 和503 HU (空气).
- 质子范围的随机误差很小 (<0.2毫米),但系统误差显示出显著的变化,4.5%的斑点有>5毫米的偏差.
结论:
- 该sCT生成模型表现出稳定性,随机误差低.
- 需要进一步的研究来减少,预测和管理临床实施的系统性错误.
- 系统性错误可能受到MRI-CT不匹配和解剖学变化等因素的影响.
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