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A hierarchical elastic image registration approach based on approximating thin-plate splines

机译:基于近似薄板样条的分层弹性图像配准方法

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We present a hierarchical approach to elastic registration of medical images which use thin-plate splines approximation method. The thin-plate splines approximation method takes into account the landmark localization errors as anisotropic landmark errors. This inclusion is very important in clinical applications, because the landmark localization is always prone to error. Experimental results show that application of this TPS method can improve the registration result of the hierarchical elastic registration approach.
机译:我们提出了一种使用薄板样条近似法对医学图像进行弹性配准的分层方法。薄板样条曲线逼近方法将界标定位误差视为各向异性界标误差。在临床应用中,这种包含非常重要,因为界标定位始终容易出错。实验结果表明,该TPS方法的应用可以改善分层弹性配准方法的配准结果。

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