重症监护X-ray图像中呼吸导管的自动检测

近年来，移动X-ray成像机器被广泛地应用于重症监护病房，它可以及时地检测到病人体中呼吸导管（ET）的位置是否正确．不适当的导管位置会给病人造成不适感，严重的会给病人造成生命危险．另一方面，由于移动X-ray图像比较模糊、对比度低、噪声大，使得用计算机自动识别气管内的呼吸导管具有一定难度．首先对X-ray图像作增强处理使图像中的边缘更清晰而便于边缘检测．在基于增强图像的基础上，利用呼吸导管边缘的对称性和导管的大致方向不变性，对哈夫变换算法作有针对性的改进．利用此方法检测32张合有呼吸管的X-ray图像，实验结果为检测出93．75％．

Endotracheal tube automatic detection for X-ray image in intensive care unit

Recently, Portable X - ray radiographs are heavily used in the ICU for detecting significant or unexpected conditions requiring immediate changes in patient management. Improper tube positioning can cause patient discomfort, render a treatment ineffective, or can even be life - threatening. However, because the poor image quality in portable X - ray images due to the var- iability in patients, apparatus positioning, and X -ray exposure, it is often difficult for computer to detect the position of ET au- tomatically. The purpose of this paper is to present an image preprocessing method which can smooth the noise while preserving the edges and be helpful the edge detection. Base on this enhancement image, we improved the Hough Transform algorithm to detection the ET. Experiment on 32 images containing ET indicated that the detection rate is 93.75%.