Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
September 16, 2019 ยท Entered Twilight ยท ๐ Journal of Medical Imaging
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Repo contents: Folder_of_Functions, LICENSE, Main_script_for_tapering_vaule.m, README.md, github_demo_dital_point.rar, github_demo_raw.rar, github_demo_seg.rar
Authors
Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes
arXiv ID
1909.07454
Category
cs.CV: Computer Vision
Cross-listed
physics.med-ph
Citations
2
Venue
Journal of Medical Imaging
Repository
https://github.com/quan14/AirwayTaperingInCT
โญ 3
Last Checked
2 months ago
Abstract
Purpose: This paper proposes a pipeline to acquire a scalar tapering measurement from the carina to the most distal point of an individual airway visible on CT. We show the applicability of using tapering measurements on clinically acquired data by quantifying the reproducibility of the tapering measure. Methods: We generate a spline from the centreline of an airway to measure the area and arclength at contiguous intervals. The tapering measurement is the gradient of the linear regression between area in log space and arclength. The reproducibility of the measure was assessed by analysing different radiation doses, voxel sizes and reconstruction kernel on single timepoint and longitudinal CT scans and by evaluating the effct of airway bifurcations. Results: Using 74 airways from 10 CT scans, we show a statistical difference, p = 3.4 $\times$ 10$^{-4}$ in tapering between healthy airways (n = 35) and those affected by bronchiectasis (n = 39). The difference between the mean of the two populations was 0.011mm$^{-1}$ and the difference between the medians of the two populations was 0.006mm$^{-1}$. The tapering measurement retained a 95\% confidence interval of $\pm$0.005mm$^{-1}$ in a simulated 25 mAs scan and retained a 95% confidence of $\pm$0.005mm$^{-1}$ on simulated CTs up to 1.5 times the original voxel size. Conclusion: We have established an estimate of the precision of the tapering measurement and estimated the effect on precision of simulated voxel size and CT scan dose. We recommend that the scanner calibration be undertaken with the phantoms as described, on the specific CT scanner, radiation dose and reconstruction algorithm that is to be used in any quantitative studies. Our code is available at https://github.com/quan14/AirwayTaperingInCT
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