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Optimal Parameters for Modified Butterfly Interpolation Scheme Inspired Configurations as Hole-filling Method in 3D Volume Reconstruction

机译:改进的蝴蝶插值方案的最佳参数激励配置为3D卷重建中的孔填充方法

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Three-dimensional volume reconstruction can help physicians to understand the patients' inner anatomy better in a 3D perspective. However, the pixel nearest neighbor method volume reconstruction tended to blur the reconstruction result. This study aims to present the design and configuration of improved modified butterfly interpolation scheme as the hole-filling method in the pixel nearest neighbor. The optimal parameters are also investigated to obtain a high-quality volume reconstruction result using a modified butterfly interpolation scheme. The experiment is designed and conducted on the ultrasound and CT scan data sets, where the artificial holes are created in these ground truth data sets. The proposed method is then used to reconstruct the missing voxels, and its capability is evaluated quantitatively. The results showed that the optimal butterfly interpolation parameter w is equal to 1/32 and 0 in the 3D reconstruction of ultrasound and CT scan, respectively. Meanwhile, the optimal maximum neighbor interpolation distance n is equal to 2 and 0 in the 3D reconstruction of ultrasound and CT scans, respectively.
机译:三维体积重建可以帮助医生在3D角度来看患者的内在解剖学。然而,像素最近的邻近方法卷重建往往模糊重建结果。本研究旨在介绍改进的修改蝶形插值方案的设计和配置作为像素最近邻居中的空穴填充方法。还研究了最佳参数以使用改进的蝶形插值方案获得高质量的体积重建结果。实验在超声波和CT扫描数据集上设计和进行,其中在这些地面真理数据集中创建人造孔。然后使用所提出的方法来重建缺失的体素,并且其能力定量评估。结果表明,最佳蝶形插值参数W分别在超声波和CT扫描的3D重建中等于1/32和0。同时,在超声波和CT扫描的三维重建中,最佳最大邻距离n等于2和0。

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