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3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods

机译:基于傅立叶插值和3维水平集方法的MRI数据的3维咽喉区域分割

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A new algorithm for 3D throat region segmentation from magnetic resonance imaging (MRI) is presented. The proposed algorithm initially pre-processes the MRI data to increase the contrast between the throat region and its surrounding tissues and to reduce artifacts. Isotropic 3D volume is reconstructed using the Fourier interpolation. Furthermore, a cube encompassing the throat region is evolved using level set method to form a smooth 3D boundary of the throat region. The results of the proposed algorithm on real and synthetic MRI data are used to validate the robustness and accuracy of the algorithm.
机译:提出了一种用于磁共振成像(MRI)的3D喉咙区域分割的新算法。所提出的算法首先对MRI数据进行预处理,以增加咽喉区域与其周围组织之间的对比度,并减少伪影。使用傅里叶插值重建各向同性3D体积。此外,使用水平集方法演化出包含喉部区域的立方体,以形成喉部区域的平滑3D边界。将该算法在真实和合成MRI数据上的结果用于验证该算法的鲁棒性和准确性。

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