This study investigated nine combination methods produced from three interpolation (Lanczos, iterative curvature based interpolation, and contrast-guided) and three segmentation (spatial fuzzy C-means, modified fuzzy C-means [mFCM], and level set method) models from optic nerve magnetic resonance images (MRI). The aim was to produce sharp edges of the optic nerves for cross-sectional area measurement. Lanczos-mFCM was identified as the best combination in terms of: image quality; Dice similarity coefficient; a similar area compared with measurements from raw images but with higher reproducibility; and the highest signal-to-noise and contrast-to-noise ratios. It was then applied to ten normal datasets. The mean cross-sectional areas were 12.57 ± 1.92mm² from proton density images, 12.98 ± 2.18mm² from T2-weighted (T2W) images including the optic nerve sheath, and 1.68 ± 0.69mm² from the T2W images of the optic nerve only. The Lanczos-mFCM method is recommended for future quantitative studies on optic nerve MRI.

中文翻译：

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用于横截面积测量的磁共振图像上视神经最佳插值和分割的评估

本研究研究了由光学中的三种插值（Lanczos、基于迭代曲率的插值和对比度引导）和三种分割（空间模糊 C 均值、改进的模糊 C 均值 [mFCM] 和水平集方法）模型产生的九种组合方法。神经磁共振图像（MRI）。目的是产生视神经的锐利边缘以用于横截面积测量。 Lanczos-mFCM 被认为是以下方面的最佳组合： 图像质量；骰子相似系数；与原始图像的测量结果相比，面积相似，但具有更高的再现性；以及最高的信噪比和对比度噪声比。然后将其应用于十个正常数据集。质子密度图像的平均横截面积为 12.57 ± 1.92mm ²，包括视神经鞘的 T2 加权 (T2W) 图像的平均横截面积为12.98 ± 2.18mm ² ，视神经 T2W 图像的平均横截面积为1.68 ± 0.69mm ²仅有的。建议将 Lanczos-mFCM 方法用于未来视神经 MRI 的定量研究。