Determining alveolar dynamics by automatic tracing of area changes within microscopy videos
Alveolar microscopy allows in vivo inspection of changes in alveolar geometry during mechanical ventilation 1 in animal models. It is currently an open question how the size of alveoli relates to cyclic mechano-stimulation during ventilation. Determining the changes in alveolar geometry from recorded videos would provide new insights into alveolar dynamics. But the evaluation of thousands of video frames by hand is not suitable and produces unreliable results. Other groups regardless of the applied imaging acquisition technique e.g. 2 therefore restrict analysis to single frames or use global measures extracted from binary images 3. Here we report on an automated alveolar tracking system 5 that determines relative changes in alveolar size during mechanical ventilation. The observed changes in alveolar size can be correlated with mechanical properties of the respiratory system. Finally variations in alveolar geometry may be used to evaluate and to guide respirator settings in the treatment of critically ill lungs.
D. Schwenninger K. M(o)ller H. Lui H. Runck C. Stahl S. Schumann J.Guttmann
Furtwangen University Biomedical Engineering VS-Schwenningen, Germany University of Freiburg Exp. Anesthesiology Freiburg, Germany
国际会议
上海
英文
2357-2360
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）