發(fā)布時(shí)間：2018-12-08 12:21

【摘要】：醫(yī)學(xué)電阻抗成像技術(shù)(EIT)是當(dāng)今生物醫(yī)學(xué)界重要的研究領(lǐng)域之一。本文利用Comsol軟件建立16電極圓形場仿真模型,分三種情況分析了有限元剖分的疏密對(duì)測量電極電壓的影響,對(duì)場域內(nèi)不同位置的成像對(duì)象做了正問題分析。利用共軛梯度圖像重建算法,針對(duì)正問題仿真數(shù)據(jù),利用Matlab編程實(shí)現(xiàn)對(duì)不同位置、不同大小的成像對(duì)象的圖像重建。對(duì)共軛梯度法收斂性進(jìn)行了分析,并采用設(shè)定的迭代停止條件,進(jìn)行了圓形場重建實(shí)驗(yàn),分別針對(duì)單個(gè)成像對(duì)象和兩個(gè)成像對(duì)象進(jìn)行分辨能力的評(píng)估。結(jié)合人體肺部組織的結(jié)構(gòu)特征,利用人體胸部CT掃描圖,建立更為精確的胸部仿真模型,實(shí)現(xiàn)了肺部連續(xù)呼吸過程中的圖像重建,采用三種模型對(duì)呼吸過程中所重建的圖像質(zhì)量進(jìn)行對(duì)比分析,得出了肺部呼吸過程中電導(dǎo)率和測量電極電壓之間的變化關(guān)系。應(yīng)用小波分析方法對(duì)肺功能成像過程中EIT電壓矩陣數(shù)據(jù)進(jìn)行分析,得出了心肺變化信息和頻率特性,從中提取出了低頻信息和高頻信息,從而為臨床研究提供依據(jù)。
[Abstract]:Medical Electrical Impedance Imaging (EIT) is one of the most important research fields in biomedical field. In this paper, a 16-electrode circular field simulation model is established by using Comsol software. The influence of the density of finite element method on the electrode voltage is analyzed in three cases, and the forward problem of the imaging object at different positions in the field is analyzed. Based on the conjugate gradient image reconstruction algorithm and the simulation data of positive problem, the image reconstruction of different positions and sizes of imaging objects is realized by Matlab programming. The convergence of the conjugate gradient method is analyzed and the circular field reconstruction experiment is carried out using the set iterative stopping conditions. The resolution of the single imaging object and the two imaging objects are evaluated respectively. Combined with the structural characteristics of human lung tissue, a more accurate chest simulation model was established by using the human chest CT scan, which realized the image reconstruction in the process of continuous lung respiration. Three models were used to compare and analyze the quality of the reconstructed images during respiration, and the relationship between electrical conductivity and electrode voltage was obtained. Wavelet analysis was used to analyze the EIT voltage matrix data during pulmonary function imaging. The changes and frequency characteristics of heart and lung were obtained, and the low frequency and high frequency information were extracted from the data, which provided the basis for clinical research.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：R318.0;TP391.41

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本文編號(hào)：2368340