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Method for segmentation of an MRI image of a tissue in presence of partial volume effects and computer program implementing the method

机译:在存在部分体积效应的情况下分割组织的MRI图像的方法和实现该方法的计算机程序

摘要

A method and computer program for segmentation of an MRI image of tissue in presence of partial volume effects, include storing the MRI image in K-space representation as raw dataset, reconstructing N images, each represented by N sets of voxels and N sets of light intensity values, dividing each voxel into a fixed number of subvoxels equal in size, assigning the light intensity value of the voxel to its subvoxels, classifying each subvoxel according to light intensity value, identifying a totality of subvoxels classified with equal probability for a totality of tissue types, labeling the subvoxels as partial volume subvoxels, shifting N−1 images starting with the second image by one subvoxel relatively to the preceding image and gene-rating a new set of overlay subvoxels, determining a new set of probability values for the new set of overlay subvoxels and creating an overlay image of the new set of overlaid subvoxels.
机译:一种在存在局部体积效应的情况下对组织的MRI图像进行分割的方法和计算机程序,包括将MRI图像作为原始数据集存储在K空间表示中,重建N幅图像,每幅图像均由N组体素和N组光表示强度值,将每个体素划分为固定数量的大小相等的子体素,将体素的光强度值分配给其子体素,根据光强度值对每个子体素进行分类,识别以等概率分类的全部子体素的总和组织类型,将子体素标记为部分体积子体素,从第二个图像开始将N-1个图像相对于先前图像移动一个子体素,并生成一组新的覆盖子体素,为新图像确定一组新的概率值的一组叠加子体素,并创建新的一组叠加的子体素的叠加图像。

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