基于运动模糊建模与逆滤波增强的颌骨CBCT分析

doi:10.13591/j.cnki.kqyx.2026.09.003

摘要/Abstract

摘要：

目的探讨逆滤波算法用于评估口腔种植锥形束CT(cone-beam computed tomography,CBCT)图像的可行性,构建融合逆滤波优化、CTAn骨微结构分析的CBCT影像处理流程,提高种植体周围骨组织评估的准确性。方法选择2022年1月1日至2024年12月31日因口腔种植治疗拍摄CBCT的患者48例,对CBCT影像进行预处理后,采用基于点扩散函数的运动模糊建模和频域维纳逆滤波进行图像恢复,并结合最大密度投影进行三维显示。将处理前后图像导入CTAn软件,对种植体周围骨组织感兴趣体积进行三维骨微结构分析,提取骨体积分数(BV/TV)、骨小梁数量(Tb.N)及骨小梁形态(SMI)等参数,评价图像质量及细节显示效果。结果逆滤波优化后,CBCT图像在种植体周围骨边界、骨小梁纹理及局部高密度结构显示方面较原始图像更清晰。CTAn分析显示,处理后图像BV/TV、Tb.N均有显著提高、SMI显著降低(P<0.05)。结论逆滤波算法用于分析口腔种植CBCT具有良好可行性。该方法可将常规CBCT术后评价由形态观察拓展至骨微结构定量分析,并有助于提高种植体周围骨组织状态判断的准确性,为术后随访和个体化治疗提供参考。

关键词: 口腔种植, 锥形束CT, 逆滤波, 骨微结构分析

Abstract:

Objective To evaluate the feasibility of inverse filtering for cone-beam computed tomography(CBCT) assessment in dental implantology and to establish a workflow integrating inverse filtering enhancement with CTAn-based bone microstructural analysis, so as to improve the accuracy of peri-implant bone tissue assessment. Methods CBCT data from 48 patients who underwent implant treatment between January 1, 2022 and December 31, 2024 were retrospectively analyzed. After preprocessing, images were restored using point spread function-based motion blur modeling and frequency-domain Wiener inverse filtering, followed by three-dimensional visualization. Pre- and post-processed images were imported into CTAn for three-dimensional microstructural analysis of peri-implant bone. Bone volume fraction(BV/TV), trabecular number(Tb.N), and structure model index(SMI) were measured. Results Compared with the original images, the processed CBCT images showed clearer peri-implant bone boundaries, trabecular architecture, and local high-density structures. CTAn analysis demonstrated significantly increased BV/TV and Tb.N, and significantly decreased SMI after processing(P<0.05). Conclusion Inverse filtering is feasible for postoperative CBCT assessment in dental implantology. It enables CBCT evaluation to extend from morphological observation to quantitative bone microstructural analysis, improving the assessment of peri-implant bone status and providing support for postoperative follow-up and individualized treatment.

Key words: dental implant, cone-beam computed tomography, inverse filtering, bone microstructural analysis

中图分类号:

R782.1

张亨国, 潘宇飞, 汪郭强, 孙晓曦. 基于运动模糊建模与逆滤波增强的颌骨CBCT分析[J]. 口腔医学, 2026, 46(9): 658-662.

ZHANG Hengguo, PAN Yufei, WANG Guoqiang, SUN Xiaoxi. Analysis of jaw bone CBCT based on motion blur modeling and inverse filtering enhancement[J]. Stomatology, 2026, 46(9): 658-662.

图/表 2

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