Tapering Analysis of Airways with Bronchiectasis
September 14, 2019 Β· Entered Twilight Β· π Medical Imaging
"Last commit was 6.0 years ago (β₯5 year threshold)"
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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, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
arXiv ID
1909.06604
Category
eess.IV: Image & Video Processing
Cross-listed
cs.CV,
physics.med-ph,
q-bio.QM
Citations
7
Venue
Medical Imaging
Repository
https://github.com/quan14/AirwayTaperingInCT
β 3
Last Checked
1 month ago
Abstract
Bronchiectasis is the permanent dilation of airways. Patients with the disease can suffer recurrent exacerbations, reducing their quality of life. The gold standard to diagnose and monitor bronchiectasis is accomplished by inspection of chest computed tomography (CT) scans. A clinician examines the broncho-arterial ratio to determine if an airway is brochiectatic. The visual analysis assumes the blood vessel diameter remains constant, although this assumption is disputed in the literature. We propose a simple measurement of tapering along the airways to diagnose and monitor bronchiectasis. To this end, we constructed a pipeline to measure the cross-sectional area along the airways at contiguous intervals, starting from the carina to the most distal point observable. Using a phantom with calibrated 3D printed structures, the precision and accuracy of our algorithm extends to the sub voxel level. The tapering measurement is robust to bifurcations along the airway and was applied to chest CT images acquired in clinical practice. The result is a statistical difference in tapering rate between airways with bronchiectasis and controls. Our code is available at https://github.com/quan14/AirwayTaperingInCT.
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