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作 者:廉小亲[1,2] 王宇乔 高超 关文洋 LIAN Xiao-qin;Wang Yu-qiao;GAO Chao;GUAN Wen-yang(School of Computer and Artificial Intelligence,Beijing Technology and Business University,Beijing 100048,China;Key Laboratory of Industrial Internet and Big data,China National Light Industry,Beijing Technology and Business University,Beijing 100048,China)
机构地区:[1]北京工商大学计算机与人工智能学院,北京100048 [2]北京工商大学中国轻工业工业互联网与大数据重点实验室,北京100048
出 处:《计算机仿真》2024年第4期466-469,484,共5页Computer Simulation
基 金:北京市自然科学基金资助项目(6214034)。
摘 要:声波反射技术是一种非侵入性测量技术,并且可通过回传的反射波构造物体内部结构,所以在医学测量鼻腔结构方向有着天然优势。然而,该技术中的长源声波管不便于携带以及成本较高的问题制约了该方法在医学方向的应用。因此,本研究提出了基于短源声波管道的鼻腔三维结构重塑方法以解决这些问题。本研究通过分析短源声波管道中的脉冲声波传播特性,解决了短源声波管道分离入射波与反射波困难的问题;并且采用了校正直流偏移分量和引入约束因子抑制高频噪声的方法对鼻腔声波信号进行预处理;最后利用鼻腔三维结构分层重塑方法重塑出鼻腔结构二维曲线并进行了三维可视化。实验结果表明:约束因子对重塑鼻腔结果有较大的影响,本文确定了约束因子的最佳取值范围。Acoustic reflectometry technique is a non-invasive measurement technique for determining the internal dimensions of tubes of different cross-sections,so it has a natural advantage in the direction of medical measurement of nasal structures.However,the long source acoustic tube in this technique is not portable and the high cost constrains the application of this method in the medical direction.Therefore,this study proposes a short-source acoustic wave tube-based method for 3D structural reconstructing of the nasal cavity to solve these problems.In this study,the difficulty of separating incident and reflected waves in short-source acoustic wave pipelines is solved by analyzing the propagation characteristics of pulsed acoustic waves in short-source acoustic wave pipelines;the method of correcting the DC offset component and introducing constraints to inhibit the high-frequency noise is used to preprocess the nasal acoustic wave signals;and finally,the 2D curves of the nasal cavity are reshaped by the 3D nasal cavity structural reconstructing method with a layered approach,and the 3D visualization is carried out.The experimental results show that the constraint factor has a large influence on the results of reconstructing the nasal cavity,and the optimal range of values for the constraint factor is determined in this paper.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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