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Combining interpolation and 3D level set method (I+3DLSM) for medical image segmentation

机译:结合插值和3D水平集方法(I + 3DLSM)进行医学图像分割

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摘要

A combined interpolation - 3D Level Set Method (I+3DLSM) based segmentation process is presented. The performance in terms of accuracy of the 3-dimensional (3D) level set method (LSM) in the segmentation of throat regions from highly anisotropic magnetic resonance imaging (MRI) volumes, with and without an interpolation step is evaluated. Qualitative and quantitative results from real MRI data suggest that performing interpolation, to reconstruct isotropic MRI volumes, prior to 3D LSM improves the accuracy of the segmentation results, compared to interpolation post 3D LSM and no interpolation at all.
机译:提出了一种基于组合插值-3D水平集方法(I + 3DLSM)的分割过程。在3维(3D)水平集方法(LSM)的准确度方面,评估了在有插值步骤和无插值步骤的情况下从高度各向异性磁共振成像(MRI)体积分割喉咙区域的性能。真实MRI数据的定性和定量结果表明,与3D LSM后插补和完全不插补相比,在3D LSM之前执行插补以重建各向同性MRI体积可提高分割结果的准确性。

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