Quantifying Uncertainties for Prostate Image-Guided Radiotherapy: A 3D Organ Reconstruction and Registration Method

X. Gual-Arnau, R. Masó, F. Lliso, J. López-Tarjuelo
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引用次数: 0

Abstract

The purpose of this paper is to present a method for volumetric reconstruction, registration and margin assigna- tion applicable to both conventional CT scans and on board CT imaging. This method does not depend on the shape of the organs, the bony anatomy or the use of markers, and we apply it to prostate and bladder. 3D reconstructions are performed by means of spline surfaces and the 3D reconstructed surfaces are registered to a planning surface, using a multidimen- sional alignment from the Euclidean distance transform and the Levenberg-Marquardt optimization algorithm. Once the reconstructed surfaces are registered, we define a mean surface and obtain the corresponding variances from this mean surface. The method works properly and demonstrates that once translations are insulated by registration, residual uncer- tainties can be handled with the margin assigned for delineation variation and organ deformation.
前列腺影像引导放射治疗的不确定度量化:一种三维器官重建与配准方法
本文的目的是提出一种既适用于传统CT扫描也适用于车载CT成像的体积重建、配准和边界分配方法。这种方法不依赖于器官的形状、骨骼解剖结构或标记物的使用,我们将其应用于前列腺和膀胱。利用欧几里得距离变换和Levenberg-Marquardt优化算法对三维曲面进行三维重构,并将三维重构曲面配准到规划曲面。一旦重构曲面被配准,我们定义一个平均曲面,并从这个平均曲面得到相应的方差。该方法运行良好,并证明了一旦翻译被配准隔离,残余不确定性可以用指定的边界来处理圈定变化和器官变形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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