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Method for robust scale-space analysis of 3D local structures in medical images

机译:用于医学图像中3D局部结构的鲁棒尺度空间分析的方法

摘要

A method for determining the location, shape and orientation of a tumor in a medical image includes finding a plurality of spatial extrema μ of a D-dimensional spatial signal f for a set of bandwidths H by performing mean shift-based gradient-ascent iterations for a set of bandwidths H and then determining a D-dimensional spread and orientation of the signal about each extrema μ by estimating a covariance Σ of the signal f for each extrema μ. The optimal estimate of μ and Σ is determined by performing a Jensen-Shannon divergence on the full set of μ and Σ.
机译:一种用于确定医学图像中肿瘤的位置,形状和方向的方法,包括对一组带宽H进行D维空间信号f的多个空间极值μ的计算,方法是对每个带宽H执行基于均值漂移的梯度上升迭代一组带宽H,然后通过估计每个极值μ的信号f的协方差Σ来确定信号在每个极值μ周围的D维扩展和方向。通过对整个μ和Σ集合执行Jensen-Shannon发散,可以确定μ和Σ的最佳估计。

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