【摘要】：背景:由于醫(yī)學(xué)CT體數(shù)據(jù)存在各向異性的特點(diǎn),導(dǎo)致CT序列圖像重建網(wǎng)格模型時(shí)產(chǎn)生階梯表面,從而影響后續(xù)的醫(yī)學(xué)診斷。目的:利用數(shù)字幾何處理技術(shù)重建個(gè)性化骨骼模型。方法:首先基于互信息的圖像配準(zhǔn)算法對(duì)骨骼CT序列圖像進(jìn)行配準(zhǔn),接著使用圖像分割提取骨骼輪廓集并轉(zhuǎn)化為三維點(diǎn)云,然后使用高斯加權(quán)的主成分分析方法估算點(diǎn)云法向量并對(duì)點(diǎn)云進(jìn)行三邊濾波去噪,最后對(duì)點(diǎn)云進(jìn)行自適應(yīng)圓球覆蓋及網(wǎng)格化處理,完成個(gè)性化骨骼模型重建。結(jié)果與結(jié)論:文章所提的方法可以生成光順的個(gè)性化骨骼表面網(wǎng)格模型,所形成的三角網(wǎng)格形狀規(guī)則且自適應(yīng)分布,可以為計(jì)算機(jī)輔助制造、有限元分析及3D打印提供準(zhǔn)確的三維模型。
[Abstract]:Background: due to the anisotropy of medical CT volume data, the ladder surface of CT sequence image reconstruction grid model is produced, which affects the subsequent medical diagnosis. Objective: to reconstruct personalized bone model with digital geometry processing technology. Methods: firstly, bone CT sequence images were registered based on mutual information image registration algorithm, then the bone outline set was extracted and transformed into three-dimensional point cloud by image segmentation, then the point cloud normal vector was estimated by Gaussian weighted principal component analysis method and the point cloud was filtered and de-noised by trilateral filtering. Finally, the point cloud was covered and gridded adaptively to complete the reconstruction of personalized bone model. Results and conclusion: the method proposed in this paper can generate a smooth personalized bone surface grid model, and the triangular grid is regular and adaptive distribution, which can provide an accurate three-dimensional model for computer-aided manufacturing, finite element analysis and 3D printing.
【作者單位】： 淮陰工學(xué)院江蘇省先進(jìn)制造重點(diǎn)實(shí)驗(yàn)室;淮安市淮陰醫(yī)院骨科;
【基金】：江蘇省高校自然科學(xué)研究面上項(xiàng)目(14KJB460002) 淮安市科技計(jì)劃項(xiàng)目(HAG2015032) 江蘇省先進(jìn)制造重點(diǎn)實(shí)驗(yàn)室開(kāi)放課題(HGDML-1204)~~
【分類(lèi)號(hào)】：R816.8;R68

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