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Reproducible objective quantification method to segment white matter structures

机译:可再现的客观量化方法,用于分割白质结构

摘要

The invention provides a reproducible, objective quantification technique that reliably segments white matter structures. The technique receives a seed voxel within the white matter structure from an individual, determines thresholds and selection criteria, creates a binary mask based on the at least one threshold and the at least one selection criteria and calculates the boundary of the white matter structure based on the binary mask. A magnification factor is applied to each component of the eigenvectors of voxels. Boundary voxels are determined wherein each of the boundary voxels has a magnitude above a predetermined value and is located next to a voxel having a magnitude below the predetermined value. A vector is drawn from the seed voxel to a boundary voxel and the boundary voxels are connected together, thereby forming the region of interest within the connected boundary voxels.
机译:本发明提供了一种可靠地分割白质结构的可再现的客观定量技术。该技术从个人处接收白质结构内的种子体素,确定阈值和选择标准,基于至少一个阈值和至少一个选择标准创建二进制掩码,并基于以下条件计算白质结构的边界二进制掩码。放大系数应用于体素特征向量的每个分量。确定边界体素,其中每个边界体素具有高于预定值的大小,并且位于具有低于预定值的大小的体素的旁边。从种子体素向边界体素绘制矢量,并且边界体素连接在一起,从而在连接的边界体素内形成目标区域。

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