Objective. It is to study the application of edge correction algorithm (ECA) in computed tomography (CT) medical image segmentation, explore its guiding significance in the analysis of clinical characteristics of children with refractory mycoplasma pneumoniae (RMPP), and discuss the therapeutic value of fiberoptic bronchoscopy bronchoalveolar lavage (BAL) for RMPP. Methods. The accuracy of ECA in CT medical image segmentation of children with RMPP was compared with that of the watershed segmentation algorithm (WSA) and swarm intelligence optimization algorithm (SIOA). The clinical characteristics and the imaging characteristics of 80 children with RMPP admitted to hospital from January 2018 to January 2020 were retrospectively analyzed based on the ECA. All children were divided into a lavage group (BAL group, n = 69) and a nonlavage group (non-BAL group, n = 11) according to whether fiberoptic bronchoscopy and BAL were performed. Bronchoscopy was adopted to analyze the cytological characteristics of BAL fluid (BALF) in children, and the recovery rate and the total effective rate of the two groups of children were observed and compared. Results. The overall accuracies (OAs) of the three ECAs (Roberts operator (RO), Sobel operator (SO), and Prewitt operator (PO)) were higher than that of WSA and SIOA, their false negative rate (FNR) and false positive rate (FPR) were small, and their denoising performance was superior to that of WSA and SIOA. The main clinical manifestations of all children were high fever, irritating dry cough, and few early signs. The results of chest CT examination were mainly manifested as patchy or large-scale consolidation, two lung mesh or small nodular shadows, and atelectasis. 69 cases with fiberoptic bronchoscopy showed swelling and congestion of the bronchial mucosa at the lesion site with visible viscous secretions, which was consistent with the imaging changes. The total number of cells in the BALF of children increased (), which mainly represented the increase of neutrophils (). The recovery rate of children with lavage (81.16%) was higher dramatically than that of the nonlavage group (45.45%). Conclusion. The ECA had good accuracy and denoising performance in lung CT image segmentation. The clinical characteristics, imaging characteristics, and cytological components of children had changed when they suffered from the RMPP, and fiberoptic bronchoscopy lavage had a therapeutic effect on it.

中文翻译：

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使用边缘校正算法对儿童难治性支原体肺炎进行计算机断层扫描图像分割

目标。旨在研究边缘校正算法（ECA）在计算机断层扫描（CT）医学图像分割中的应用，探讨其在难治性肺炎支原体（RMPP）患儿临床特征分析中的指导意义，探讨光纤光纤的治疗价值。支气管镜检查支气管肺泡灌洗 (BAL) 用于 RMPP。方法. 将ECA在RMPP患儿CT医学图像分割中的准确率与分水岭分割算法（WSA）和群体智能优化算法（SIOA）进行比较。基于ECA回顾性分析2018年1月至2020年1月入院的80例RMPP患儿的临床特征和影像学特征。所有儿童 根据是否进行纤维支气管镜检查和 BAL分为灌洗组（BAL 组，n  = 69）和非灌洗组（非 BAL 组，n = 11）。采用支气管镜对小儿BAL液(BALF)细胞学特征进行分析,观察比较两组患儿的恢复率和总有效率。结果。三个ECA（Roberts算子（RO）、Sobel算子（SO）和Prewitt算子（PO））的总体准确率（OAs）高于WSA和SIOA，它们的假阴性率（FNR）和假阳性率(FPR) 较小，去噪性能优于 WSA 和 SIOA。所有患儿临床主要表现为高热、刺激性干咳，早期症状少。胸部CT检查结果主要表现为斑片状或大面积实变，两肺网状或小结节影，肺不张。69例纤维支气管镜检查显示病变部位支气管黏膜肿胀充血，可见粘稠分泌物，与影像学改变一致。儿童BALF中的细胞总数增加（),主要代表中性粒细胞增多 (）。灌洗组患儿的康复率（81.16%）显着高于非灌洗组（45.45%）。结论。ECA在肺CT图像分割中具有良好的准确性和去噪性能。RMPP患儿的临床特征、影像学特征、细胞学成分发生改变，纤维支气管镜灌洗对其有治疗作用。