An automated approach to quantitative air trapping measurements in mild cystic fibrosis.

@article{Goris2003AnAA,
  title={An automated approach to quantitative air trapping measurements in mild cystic fibrosis.},
  author={Michael L. Goris and Hongyun June Zhu and Francis Blankenberg and Frandics Pak Chan and Terry E. Robinson},
  journal={Chest},
  year={2003},
  volume={123 5},
  pages={1655-63}
}
PURPOSE To automatically derive the degree of air trapping in mild cystic fibrosis (CF) disease from high-resolution CT (HRCT) data, and to evaluate the discriminating power of the measurement. MATERIALS AND METHODS The data consist of six pairs of anatomically matched tomographic slices, obtained during breath-holding in triggered HRCT acquisitions. The pairs consist of an inspiratory slice, at > or = 95% of slow vital capacity, and an expiratory slice at near residual volume (nRV). The… CONTINUE READING

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