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Research and implementation of spinal MRI image segmentation algorithm

机译:脊柱MRI图像分割算法的研究与实现

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Using the method of image visual processing to assist clinical diagnosis is an important technology of medicine field, because of this, gradually become a hot research topic in recent years. Spine MRI image contains important information of spine and plays an active role in diagnosis, therefore, there must be a robust method for the image segmentation and extract the useful information, this is also helpful for the subsequent 3D reconstruction. In this paper, we propose a fully automatic, unsupervised segmentation algorithm of intervertebral disc using an improved marker controlled watershed transformation which combines intention and prior shape information. Experimental results show that our algorithm can accurately extract the outline of intervertebral disc from normal spine and different degree of deformation of the spine. Obviously, this method is robust enough to deal with different shapes of disc.
机译:利用图像视觉处理的方法来辅助临床诊断是医学领域的重要技术,因此,逐渐成为近年来的研究热点。脊柱MRI图像包含重要的脊柱信息,在诊断中起着积极的作用,因此,必须有一种鲁棒的图像分割方法并提取出有用的信息,这对于后续的3D重建也是有帮助的。在本文中,我们提出了一种全自动的,无监督的椎间盘分割算法,该算法使用了一种结合了意图和先验形状信息的改进的标记器控制的分水岭变换。实验结果表明,该算法能够从正常脊柱和不同程度的脊柱变形中准确地提取出椎间盘轮廓。显然,此方法足够强大,可以处理不同形状的光盘。

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