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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Automated detection of endotracheal tubes in paediatric chest radiographs
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Automated detection of endotracheal tubes in paediatric chest radiographs

机译：儿科胸片中自动检测气管导管

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摘要

The aim of this study was to develop an automated method for the detection of endotracheal tube and location of its tip in paediatric chest radiographs. In this method, a seed point was first determined from the line crossing the cervical region and a line path was traced from the seed point. Two features, L-max and C, were determined from the path and were combined to detect the existence of the endotracheal tube. Multiple thresholds applied to the line path were used to determine the candidate locations for the tip, and the most suitable location was selected from these candidates by analysing the image features. To evaluate the performance of detection of endotracheal tube existence, support vector machine was used to classify the images with and without endotracheal tubes on the basis of L-max and C. The discriminant performance of the method was evaluated using receiver operating characteristic (ROC) analysis. To evaluate the precision of the detected tip locations, the tip locations in paediatric chest images were annotated by a radiologist. The distance (error) between the detected and annotated locations was used to evaluate detection precision for the tip location. The proposed method was evaluated using 528 images with endotracheal tubes and 816 images without endotracheal tubes. The discriminant performance in this study, evaluated as Az (area under the ROC curve), for detecting the existence of endotracheal tubes on the basis of the two features was 0.943 +/- 0.009, and the detection error of the tip location was 1.89 +/- 2.01 mm. The proposed method obtained high performance results and could be useful for detecting the malposition of endotracheal tubes in paediatric chest radiographs. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
机译：这项研究的目的是开发一种自动方法，用于在小儿胸部X光片中检测气管导管及其尖端位置。在该方法中，首先从穿过宫颈区域的线确定种子点，并从该种子点开始绘制路径。从该路径确定了两个特征L-max和C，并将它们结合起来以检测气管导管的存在。使用应用于线路径的多个阈值来确定尖端的候选位置，并通过分析图像特征从这些候选中选择最合适的位置。为了评估气管插管存在的检测性能，使用支持向量机基于L-max和C对有气管插管和无气管插管的图像进行分类。使用接收器操作特征（ROC）评估该方法的判别性能分析。为了评估检测到的尖端位置的精度，放射科医师对小儿胸部图像中的尖端位置进行了注释。检测到的位置和注释位置之间的距离（误差）用于评估尖端位置的检测精度。使用528幅带气管导管的图像和816幅不带气管导管的图像对提出的方法进行了评估。在这项研究中，基于这两个特征，用于检测气管内插管存在的判别性能为Az（ROC曲线下的面积）为0.943 +/- 0.009，尖端位置的检测误差为1.89 + /-2.01毫米。所提出的方法获得了高性能的结果，可用于检测小儿胸片中气管插管的位置不正确。 （C）2014 Elsevier Ireland Ltd.保留所有权利。

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