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Brain tissue segmentation in MR brain images using multiple Otsu's thresholding technique

机译:使用多种Otsu阈值技术对MR脑图像进行脑组织分割

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In this paper a new method is devised to segment the brain tissue from Tl-weighted MR brain images. The proposed method selects optimal threshold values based on Otsu's multiple thresholding technique to segment WM, GM and CSF from MR brain images. The segmentation results obtained by the proposed method is compared with the manually segmented images and have produced best results in terms of overlapping measure. The experimental results using 20 volumes of brain images show that the proposed method accurately segmented the brain tissues than the existing methods AMAP, BMAP, FCM, MAP, ML and TKmean.
机译:本文设计了一种从T1加权MR脑图像中分割脑组织的新方法。提出的方法基于Otsu的多重阈值技术选择最佳阈值,以从MR脑图像中分割WM,GM和CSF。通过所提出的方法获得的分割结果与手动分割的图像进行比较,并且在重叠测量方面产生了最好的结果。使用20幅脑图像的实验结果表明,与现有方法AMAP,BMAP,FCM,MAP,ML和TKmean相比,该方法可以准确地对脑组织进行分割。

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