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Automatic skull stripping in brain MRI based on local moment of inertia structure tensor

机译:基于局部惯性矩结构张量的脑部MRI自动颅骨剥离

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摘要

A new automatic skull stripping method for fluid attenuated inversion recovery (FLAIR) MR images is proposed for the quantification of brain volume in multiple sclerosis (MS) patients. The proposed method is based on the use of local moment of inertia structure tensor and morphological operators. The local moment of inertia structure tensor is used to determine the boundary of the brain, instead of the conventional edge detection algorithms. Data from 30 MS patients were processed by the proposed method and the Brain Extraction Tool (BET); the results of which were also compared with manual segmentation. It was shown that the proposed method was able to produce more accurate results.
机译:为减少多发性硬化症(MS)患者的脑容量,提出了一种用于液体衰减反转恢复(FLAIR)MR图像的新型自动颅骨剥离方法。所提出的方法是基于局部惯性矩结构张量和形态算子的使用。局部惯性矩结构张量用于确定大脑的边界,而不是常规的边缘检测算法。通过提议的方法和脑提取工具(BET)处理来自30名MS患者的数据;其结果也与手动细分进行了比较。结果表明,所提出的方法能够产生更准确的结果。

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