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从微观内窥镜自动分析肺泡几何结构的日内动态变化。

Automated analysis of intratidal dynamics of alveolar geometry from microscopic endoscopy.

机构信息

Department of Anesthesiology and Critical Care Medicine, Albert Ludwigs University, Freiburg 79085, Germany.

出版信息

IEEE Trans Biomed Eng. 2010 Feb;57(2):415-21. doi: 10.1109/TBME.2009.2031630. Epub 2009 Sep 18.

Abstract

Alveolar parenchyma, the gas exchange area of the respiratory system, is prone to mechanical damage during mechanical ventilation. Development of lung protective ventilation strategies therefore requires a better understanding of alveolar dynamics during mechanical ventilation. In this paper, we propose a novel method for automated analysis of the intratidal geometry of subpleural alveoli based on the evaluation of video frames recorded from alveolar microscopy in an experimental setting. Our method includes the recording with a microscopic endoscope, feature extraction from image data, the analysis of a single frame, the tracking and analysis of single alveoli in a video sequence, and the evaluation of the obtained sequence of alveolar geometry data. Our method enables automated analysis of 2-D alveolar geometry with sufficient temporal resolution to follow intratidal dynamics. The developed method and the reproducibility of the results were successfully validated with manually segmented video frames.

摘要

肺泡实质是呼吸系统进行气体交换的区域,在机械通气过程中容易受到机械损伤。因此,开发肺保护性通气策略需要更好地了解机械通气过程中肺泡的动态变化。在本文中,我们提出了一种基于对肺泡显微镜实验中记录的视频帧进行评估的亚胸膜下肺泡潮内几何形状的自动分析新方法。我们的方法包括使用显微镜内窥镜进行记录、从图像数据中提取特征、分析单个帧、在视频序列中跟踪和分析单个肺泡,以及评估获得的肺泡几何数据序列。我们的方法能够以足够的时间分辨率自动分析 2-D 肺泡几何形状,以跟踪潮内动态。通过手动分割的视频帧成功验证了所开发的方法和结果的可重复性。

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