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Analysis of Image Features and TCM Syndrome Types of Lobar Pneumonia in Children Based on Mean Square Deviation Lung CT Image Registration Algorithm

机译:基于均方偏差肺CT图像配准算法的儿童的图像特征和TCM综合征类型分析

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The aim was to analyze the application of computed tomography (CT) images in the diagnosis of lesions, and the composition of traditional Chinese medicine (TCM) syndromes in children with lobar pneumonia. Lung CT image registration algorithm was constructed based on optimized mean square deviation (OMSD) algorithm, which was applied to CT images of 188 children patients with lobar pneumonia before and after treatment. Besides, free-form deformation (FFD) algorithm and mean square deviation (MSD) algorithm were introduced for comparison with OMSD. Results showed that sum of squared differences (SSD) of OMSD was significantly lower than that of MSD and FFD ( ). The mutual information (MI), relative overlap rate (ROR), and r cc of OMSD were markedly higher than those of MSD and FFD ( ). After treatment, the number of pulmonary interstitial thickening, lobular interstitial thickening, ground-glass shadow, patchy shadow, consolidation shadow, pleural thickening, pleural effusion, lymphadenopathy, pneumothorax, and mediastinal emphysema decreased sharply in contrast to before treatment ( ). Among the selected children, there were 184 children patients with empirical TCM syndrome, accounting for 97.85%, and its dominant syndrome was wind-heat closed lung syndrome (52.75%) and phlegm-heat closed lung syndrome (46.11%). The main symptoms of wind-heat closed and phlegm-heat closed lung syndrome were fever, cough, and pulmonary rales. In conclusion, OMSD was superior to MSD and FFD in lung CT image registration. CT registration image based on OMSD could clearly display the intrapulmonary and extrapulmonary manifestations of children patients, so as to enhance the clinical diagnosis effect. Besides, wind-heat closed lung syndrome and phlegm-heat closed lung syndrome were the common types of TCM syndrome of children pneumonia with the common symptoms of fever and cough.
机译:目的是分析计算机断层摄影(CT)图像在诊断病变中的应用,以及含有叶片肺炎的儿童中药(TCM)综合征的组成。基于优化均方偏差(OMSD)算法构建了肺CT图像配准算法,该算法应用于188例儿童肺炎治疗前后肺炎患者的CT图像。此外,引入了自由形状变形(FFD)算法和均方偏差(MSD)算法以与OMSD进行比较。结果表明,OMSD的平方差(SSD)的总和显着低于MSD和FFD()的总和。 OMSD的互信息(MI),相对重叠速率(ROR)和R CC显着高于MSD和FFD()。治疗后,肺间质增稠,小叶间质增稠,磨牙玻璃阴影,斑块阴影,固结阴影,胸膜增稠,胸腔积液,淋巴结病,气胸和纵隔肿瘤与治疗前急剧下降。在选定的儿童中,有184名儿童患有经验的中医综合征,占97.85%,其主导综合征是风热闭合肺综合征(52.75%)和痰热闭合肺综合征(46.11%)。风热闭合和痰热闭合肺综合征的主要症状是发烧,咳嗽和肺部戒律。总之,OMSD在肺CT图像配准中优于MSD和FFD。基于OMSD的CT登记图像可以清楚地显示儿童患者的血管内和肺外形,从而提高临床诊断效果。此外,风热闭合肺综合征和痰热闭合肺综合征是儿童肺炎中医综合征的常见类型,具有常见的发热和咳嗽。

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