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. 2013 Apr:2013:1206-1209.
doi: 10.1109/ISBI.2013.6556697.

A PEDIATRIC AIRWAY ATLAS AND ITS APPLICATION IN SUBGLOTTIC STENOSIS

Affiliations

A PEDIATRIC AIRWAY ATLAS AND ITS APPLICATION IN SUBGLOTTIC STENOSIS

Yi Hong et al. Proc IEEE Int Symp Biomed Imaging. 2013 Apr.

Abstract

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.

Keywords: Pediatric airway atlas; simplified airway model; subglottic stenosis; weighted percentiles.

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Figures

Fig. 1
Fig. 1
Our automatic airway segmentation (left) and an airway geometry with five landmarks (right).
Fig. 2
Fig. 2
The iso-surfaces (left), the centerline and cross sections (middle), and the 1D curve (right) for a control subject.
Fig. 3
Fig. 3
The unregistered (left) and registered (right) curves.
Fig. 4
Fig. 4
The first principle component of PCA on curves between TVC and trachea carina. Colors represent age, which is clearly a predictor of airway size.
Fig. 5
Fig. 5
Pediatric airway atlas at 30 (left) and 140 (right) months represented by weighted percentiles, for which x-axis is the depth along the centerline and y-axis is the crosssectional area (mm2).
Fig. 6
Fig. 6
Comparison of SGS03 between pre and post surgery.

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