摘要
目的:明确头颈部CBCT引导放疗图像层厚与配准范围对自动配准精度的影响,为IGRT摆位修正提供参考依据。方法以1、3 mm层厚获取头颈部仿真模体的计划CT图像,并在加速器上模拟x、y、z方向摆位偏差,进行CBCT扫描和1、3 mm层厚重建图像。分别设置不同配准框范围(范围1:眼眶上缘至第七颈椎中间;范围2:颅顶至第七颈椎中间)对上述两种层厚CBCT与计划CT图像进行自动配准,评估配准精度。结果配准范围1在1、3 mm层厚图像配准误差为x方向(0.5±0.2)、(-0.7±0.2) mm (P=0.00),y方向(0.5±0.3)、(1.0±0.3) mm (P=0.00),z方向(-0.1±0.5)、(1.5±0.5) mm (P=0.00)。配准范围2在3 mm层厚图像配准误差为x方向(-0.4±0.2) mm,y方向(0.5±0.2) mm,z方向(0.7±0.4) mm。结论在头颈部CBCT或CT图像配准中将颅顶包含进配准范围内能显著提高配准的精度。采用1 mm层厚图像配准的误差可以控制在1 mm内。
Objective To evaluate the impacts of slice thickness and registration frame range on the accuracy of cone-beam computed tomography ( CBCT) image-guided head and neck ( HN) radiotherapy, and to provide a basis for positioning correction in image-guided radiotherapy.Methods A planned CT scan was performed for an anthropomorphic HN phantom with slice thickness of 1 mm and 3 mm and simulated positioning errors in x, y, and z directions on the accelerator.CBCT scan and reconstruction were performed with slice thickness of 1 mm and 3 mm.Two different registration frame ranges were used ( range 1:from C7 to superior orbit;range 2:from C7 to calvaria ) .Automatic bony registration was performed for CBCT and planned CT images with slice thickness of 1 mm and 3 mm.The registration accuracy was evaluated.Results For range 1, the registration errors in x, y, and z directions with a slice thickness of 1 mm were significantly lower than those with a slice thickness of 3 mm (0.5±0.2 mm vs.-0.7±0.2 mm, P=0.00;0.5±0.3 mm vs. 1.0±0.3 mm, P=0.00;-0.1±0.5 mm vs.1.5±0.5 mm, P=0.00).For range 2, the registration errors in x, y, and z directions with a slice thickness of 3 mm were-0.4±0.2 mm, 0.5±0.2 mm, and 0.7±0.4 mm, respectively.Conclusions Engagement of calvaria in registration range can substantially enhance the registration accuracy in CBCT or CT images for HN.The registration error with slice thickness of 1 mm can be controlled within 1 mm.
出处
《中华放射肿瘤学杂志》
CSCD
北大核心
2016年第4期391-394,共4页
Chinese Journal of Radiation Oncology
基金
广州市科技计划项目(1561000184)
关键词
扫描层厚
配准框
骨性配准
精度
Scanning thickness
Registration volumes
Bone-based registration
Accuracy