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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.7 no.30 >Automated Segmentation of Three-dimensional MR Brain Images
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Automated Segmentation of Three-dimensional MR Brain Images

机译：三维磁共振脑图像的自动分割

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摘要

Brain segmentation is a challenging problem due to the complexity of the brain. In this paper, we propose an automated brain segmentation method for 3D magnetic resonance (MR) brain images which are represented as a sequence of 2D brain images. The proposed method consists of three steps: pre-processing, removal of non-brain regions (e.g., the skull, meninges, other organs, etc), and spinal cord restoration. In pre-processing, we perform adaptive thresholding which takes into account variable intensities of MR brain images corresponding to various image acquisition conditions. In segmentation process, we iteratively apply 2D morphological operations and masking for the sequences of 2D sagittal, coronal, and axial planes in order to remove non-brain tissues. Next, final 3D brain regions are obtained by applying OR operation for segmentation results of three planes. Finally we reconstruct the spinal cord truncated during the previous processes. Experiments are performed with fifteen 3D MR brain image sets with 8-bit gray-scale. Experiment results show the proposed algorithm is fast, and provides robust and satisfactory results.
机译：由于大脑的复杂性，大脑分割是一个具有挑战性的问题。在本文中，我们为3D磁共振（MR）脑图像提出了一种自动的脑部分割方法，该方法以2D脑图像序列表示。所提出的方法包括三个步骤：预处理，去除非脑区域（例如，头骨，脑膜，其他器官等）以及脊髓修复。在预处理中，我们执行自适应阈值处理，该阈值考虑了与各种图像采集条件相对应的MR脑部图像的可变强度。在分割过程中，我们反复对二维矢状，冠状和轴向平面序列应用二维形态学操作和遮罩，以去除非脑组织。接下来，通过对三个平面的分割结果应用“或”运算来获得最终的3D脑区域。最后，我们重建在先前过程中截断的脊髓。实验是对15个8位灰度的3D MR脑图像集进行的。实验结果表明，该算法速度快，鲁棒且令人满意。

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