对照四个合成CT发电机的大脑和前列腺MR-only工作流程在放射治疗
Damien Autret1, Camille Guillerminet1, Alban Roussel1
1Institut de Cancérologie de l'Ouest, Angers, France.
Radiation oncology (London, England)
|September 5, 2023
概括
这项研究评估了用于MR-only工作流程的合成CT (sCT) 发电机. 基于人工智能的发电机表现出比散装密度方法更好的性能,特别是在大脑成像方面,使得临床实施成为可能.
科学领域:
- 医疗成像医学成像
- 放射治疗 物理 物理
- 人工智能在医学中的应用
背景情况:
- 人工智能驱动的合成CT (sCT) 产生的MR-only工作流的兴趣越来越大.
- sCT发电机将MRI图像转换为CT图像,这对于放射治疗计划至关重要.
- 对各种解剖部位的商业sCT发电机进行评估是必不可少的.
研究的目的:
- 评估四个商业可用的sCT发电机的性能.
- 为了比较批量密度和基于深度学习的sCT生成方法.
- 为了评估大脑和骨盆的解剖区域的sCT准确性.
主要方法:
- 测试了四个sCT发电机 (1个批量密度,3个深度学习).
- 大型患者队列 (42个大脑,52个骨盆) 用于评估.
- 评估了几何精度 (HU ME) 和剂量精度 (D Mean ME,马分析).
主要成果:
- 与人工智能方法相比,散装密度方法在脑成像中表现较低.
- 人工智能发电机表现出与骨盆的散装密度相当或优于散装密度的结果.
- 所有发电厂都在评估结构中实现了低于2%的Dmean ME.
结论:
- 所有评估的sCT生成器都适用于临床MR-only工作流程.
- 基于人工智能的sCT发电机提供了更好的性能,特别是用于大脑应用.
- 大量密度方法不太适合用于大脑sCT生成.
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