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一种用于放射治疗CT图像的新型可变形图像注册软件的基准测试和性能评估
Shorug S Alshammari1,2, Sridhar Yaddanapudi1, Blaž Kušnik3
1Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, USA.
Technical innovations & patient support in radiation oncology
|December 24, 2024
概括
一个新的可变形图像注册 (DIR) 软件DirOne显示出临床上可接受的准确性. 它的性能与商业系统相提并论,支持其在放射治疗规划和图像细分方面的应用.
科学领域:
- 医疗成像医学成像
- 辐射疗法 辐射疗法
- 图像注册 图像注册 图像注册
背景情况:
- 可变形图像注册 (DIR) 对于精确的放射治疗至关重要.
- 对新的DIR软件与已建立的商业系统进行评估对于临床采用至关重要.
研究的目的:
- 为了评估和比较一个新的DIR软件,DirOne.
- 为了比较DirOne的性能与商业系统MIM和VelocityAI.
- 评估是否符合AAPM任务组132 (TG-132) 的指导方针.
主要方法:
- 使用了三个公共数据集:男性骨盆幻影,4DCT胸部扫描 (DIR-Lab) 和头部和部CT (DIREP).
- 使用目标注册错误 (TRE),子相似系数 (DSC) 和平均距离达成协议 (MDA) 作为评估指标.
- 通过使用已建立的数据集和指标,将DirOne与MIM和VelocityAI进行基准比较.
主要成果:
- DirOne的平均TRE值为3.3 ± 3.1毫米,与MIM (2.7 ± 3.7毫米) 和VelocityAI (3.4 ± 2.4毫米) 相比.
- 在前两个数据集中,DirOne的DSC为0.96 ± 0.02,略低于MIM和VelocityAI (0.98 ± 0.02和0.98 ± 0.01,分别).
- 在DIREP数据集中,DirOne的MDA值为0.73 ± 0.34和DSC值为0.91 ± 0.03.
结论:
- 新的DIR软件DirOne显示出临床上可以接受的准确性.
- DirOne的性能与商业DIR系统相美.
- DirOne显示了辐射疗法应用的潜力,包括细分和剂量扭曲.
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