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Non-uniform multi-resolution analysis approach in medical image registration

机译:医学图像配准中的非均匀多分辨率分析方法

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When using conditional multi-resolution analysis of uniform space sub sampling, the important edge information will be lost in image registration based on intensity, which will result many local maxima and wrong registration. In order to solve the above problem, the non-uniform multi-resolution analysis method is proposed, which is based on sub sampling method of intensity probability distribution and gradient information. The non-uniform multi-resolution analysis is applied in the rigid registration of brain images. The results of test show that the new method can decrease the number of maxima and improve registration speed.
机译:当使用均匀空间子采样的条件多分辨率分析时,基于强度的图像配准中会丢失重要的边缘信息,这将导致许多局部最大值和错误的配准。为了解决上述问题,提出了一种基于强度概率分布和梯度信息的子采样方法的非均匀多分辨率分析方法。非均匀多分辨率分析应用于脑图像的刚性配准。测试结果表明,该新方法可以减少最大值,提高配准速度。

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