Hong Yi, Niethammer Marc, Andruejol Johan, Kimbell Julia S, Pitkin Elizabeth, Superfine Richard, Davis Stephanie, Zdanski Carlton J, Davis Brad
UNC Chapel Hill, Chapel Hill, NC, US.
UNC Chapel Hill, Chapel Hill, NC, US; Biomedical Research Imaging Center, Chapel Hill, NC, US.
Proc IEEE Int Symp Biomed Imaging. 2013 Apr;2013:1206-1209. doi: 10.1109/ISBI.2013.6556697.
Young children with upper airway problems are at risk for hypoxia, respiratory insufficiency and long term morbidity. Computational models and quantitative analysis would reveal airway growth patterns and benefit clinical care. To capture expected growth patterns we propose a method to build a pediatric airway atlas as a function of age. The atlas is based on a simplified airway model in combination with kernel regression. We show experimental results on children with subglottic stenosis to demonstrate that our method is able to track and measure the stenosis in pediatric airways.
患有上呼吸道问题的幼儿有缺氧、呼吸功能不全和长期发病的风险。计算模型和定量分析将揭示气道生长模式并有益于临床护理。为了捕捉预期的生长模式，我们提出了一种根据年龄构建儿科气道图谱的方法。该图谱基于简化的气道模型并结合核回归。我们展示了声门下狭窄患儿的实验结果，以证明我们的方法能够跟踪和测量儿科气道中的狭窄情况。
