Image estimation from marker locations for dose calculation in prostate radiation therapy.

Image estimation from marker locations for dose calculation in prostate radiation therapy.
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从标记位置进行图像估计,用于前列腺放射治疗中的剂量计算。

DOI:
10.1007/978-3-642-15711-0_42
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发表时间:
2010
期刊:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
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通讯作者:
Chaney,Ed
Chaney,Ed
中科院分区:
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文献类型:
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作者:
Lee,Huai-Ping;Foskey,Mark;Levy,Josh;Saboo,Rohit;Chaney,Ed

文献摘要

相似文献

在每次放射治疗递送期间跟踪前列腺中的植入标记物提供了前列腺位置的准确近似,这使得能够使用具有更紧密边缘的治疗射束的更高日剂量,并且因此提高了放射治疗的效率。然而,这种技术缺乏3D图像数据,妨碍了自适应计划所需的输送剂量的计算。我们建议使用从规划图像生成的参考统计形状模型和在治疗期间拟合到植入标记位置的参考模型的变形版本来估计从规划空间到治疗空间的区域密集变形。我们的方法提供了一种通过变形场将计划图像数据映射到治疗空间来估计治疗图像的方法,因此能够在每次治疗输送期间使用标记跟踪技术计算剂量分布。
Tracking implanted markers in the prostate during each radiation treatment delivery provides an accurate approximation of prostate location, which enables the use of higher daily doses with tighter margins of the treatment beams and thus improves the efficiency of the radiotherapy. However, the lack of 3D image data with such a technique prevents calculation of delivered dose as required for adaptive planning. We propose to use a reference statistical shape model generated from the planning image and a deformed version of the reference model fitted to the implanted marker locations during treatment to estimate a regionally dense deformation from the planning space to the treatment space. Our method provides a means of estimating the treatment image by mapping planning image data to treatment space via the deformation field and therefore enables the calculation of dose distributions with marker tracking techniques during each treatment delivery.