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Proceedings Paper

Tapering analysis of airways with bronchiectasis
Author(s): Kin Quan; Rebecca J. Shipley; Ryutaro Tanno; Graeme McPhillips; Vasileios Vavourakis; David Edwards; Joseph Jacob; John R. Hurst; David J. Hawkes
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Paper 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.

Paper Details

Date Published: 2 March 2018
PDF: 12 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105742G (2 March 2018); doi: 10.1117/12.2292306
Show Author Affiliations
Kin Quan, Univ. College London (United Kingdom)
Rebecca J. Shipley, Univ. College London (United Kingdom)
Ryutaro Tanno, Univ. College London (United Kingdom)
Graeme McPhillips, Univ. College London (United Kingdom)
Vasileios Vavourakis, Univ. College London (United Kingdom)
Univ. of Cyprus (Cyprus)
David Edwards, The Royal Free Hospital (United Kingdom)
Joseph Jacob, Univ. College London (United Kingdom)
John R. Hurst, Univ. College London (United Kingdom)
David J. Hawkes, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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