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Method and system for brain tumor segmentation in 3D magnetic resonance images

机译:在3d磁共振图像中进行脑肿瘤分割的方法和系统

摘要

A method and system for brain tumor segmentation in multi-spectral 3D MRI images is disclosed. A trained probabilistic boosting tree (PBT) classifier is used to determine, for each voxel in a multi-spectral 3D MR image sequence, a probability that the voxel is part of a brain tumor. The brain tumor is then segmented in the multi-spectral 3D MRI image sequence using graph cuts segmentation based on the probabilities determined using the trained PBT classifier and intensities of the voxels in the multi-spectral 3D MR image sequence.
机译:公开了一种用于多光谱3D MRI图像中的脑肿瘤分割的方法和系统。经过训练的概率提升树(PBT)分类器用于为多光谱3D MR图像序列中的每个体素确定体素是脑肿瘤一部分的概率。然后基于图谱分割,使用基于图谱分割的脑肿瘤在多光谱3D MRI图像序列中进行分割,该概率是使用训练后的PBT分类器确定的概率和多光谱3D MR图像序列中体素的强度确定的。

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