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Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers

机译:头颈癌放疗治疗计划中CT和MRI数据集注册的质量保证

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摘要

We are implementing the use of magnetic resonance (MR) images for head and neck radiotherapy planning, which involves their registration with computed tomography (CT). The quality assurance (QA) of the registration process was an initial step of this program.A phantom was built, and appropriate materials were identified to produce clinically relevant MR T1 and T2 contrast for its constituent “anatomy.” We performed a characterization of the distortion detectable within our phantom. Finally, we assessed the accuracy of image registration by contouring structures in the registered/fused data sets using the treatment planning system. Each structure was contoured using each modality, in turn, blind of the other. The position, area, and perimeter of each structure were assessed as a measure of accuracy of the entire image registration process.Distortion effects in the MR image were shown to be minimized by choosing a suitable ( ≥ ±30 kHz) receiver bandwidth. Remaining distortion was deemed clinically acceptable within ±15 cm of the magnetic field isocenter. A coefficient of agreement (A) analysis gave values to be within 9% of unity, where A=RaRpandRa/p is the ratio of the area/perimeter of a particular structure on CT to that on MR. The center of each structure of interest agreed to within 1.8 mm.A QA process has been developed to assess the accuracy of using multimodality image registration in the planning of radiotherapy for the head and neck; we believe its introduction is feasible and safe.PACS numbers: 87.53.Xd, 87.57.Gg, 87.59.Fm; 87.61.‐c, 87.66.Xa
机译:我们正在将磁共振(MR)图像用于头颈放射治疗计划,这涉及将其与计算机断层扫描(CT)配准。登记过程的质量保证(QA)是该计划的第一步。建立了模型,并确定了适当的材料以产生与其组成“解剖结构”相关的临床MR T1和T2对比。我们对人体模型中可检测到的畸变进行了表征。最后,我们使用治疗计划系统通过在已注册/融合的数据集中绘制轮廓结构来评估图像注册的准确性。每个结构都使用每个模态绘制轮廓,而又互不相让。评估每个结构的位置,面积和周长,以衡量整个图像配准过程的准确性。通过选择合适的(≥±30 kHz)接收器带宽,可以将MR图像中的失真影响最小化。在磁场等角点的±15 cm之内,剩余的变形被认为是临床可接受的。一致性系数(A)分析得出的值在9%以内,其中 A = R a R p R a / p 是特定结构在其上的面积/周长之比CT到MR。每个感兴趣结构的中心都在1.8毫米以内。已经开发了质量保证程序,以评估在头颈部放射治疗计划中使用多模态图像配准的准确性;我们相信将其引入是可行且安全的。PACS编号:87.53.Xd,87.57.Gg,87.59.Fm; 87.61.-c,87.66.Xa

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