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首页> 外文期刊>Technology in cancer research & treatment. >On the estimation of the location of the hippocampus in the context of hippocampal avoidance whole brain radiotherapy treatment planning.
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On the estimation of the location of the hippocampus in the context of hippocampal avoidance whole brain radiotherapy treatment planning.

机译:在避免海马的背景下估计海马的位置,进行全脑放射治疗的治疗计划。

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摘要

We demonstrate a technique for estimating the location of the hippocampus in MRI and CT images for use in radiotherapy treatment planning, using both rigid and contour based deformable image registration. The automatically generated contours can be subsequently modified for a given patient. By mapping the hippocampi from several patients into a template image set, a population-based average hippocampal atlas was generated. Approximate hippocampal contours can be automatically generated in a given image set by mapping this atlas onto it. The performance and accuracy of several atlases generated in different ways was tested on 10 MRI images and 7 CT images. Auto-contouring based on deformable registration significantly outperformed that based on rigid registration alone, with an average Dice similarity score of 0.62 (range .40-.76) for methods utilizing deformation. Comparable results were achieved in auto-contouring CT images when deformable registration was used, demonstrating that the methodology is robust with respect to imaging modality.
机译:我们演示了一种技术,它使用基于刚性和轮廓的可变形图像配准来估计用于放射治疗计划的MRI和CT图像中海马体的位置。随后可以为给定患者修改自动生成的轮廓。通过将几名患者的海马体映射到模板图像集中,生成了基于人群的平均海马体图集。通过将该地图集映射到给定的图像集中,可以自动生成近似的海马轮廓。在10张MRI图像和7张CT图像上测试了以不同方式生成的若干图集的性能和准确性。基于可变形配准的自动轮廓显着优于仅基于刚性配准的自动轮廓,其利用变形方法的平均Dice相似度得分为0.62(0.40-0.76)。当使用可变形配准时,在自动轮廓CT图像中获得了可比的结果,这表明该方法相对于成像方式是可靠的。

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