Cystic Fibrosis (CF) results in severe bronchiectasis in nearly all cases. Bronchiectasis is a disease where parts
of the airways are permanently dilated. The development and the progression of bronchiectasis is not evenly
distributed over the entire lungs – rather, individual functional units are affected differently. We developed a
fully automated method for the precise calculation of lobe-based airway taper indices. To calculate taper indices,
some preparatory algorithms are needed. The airway tree is segmented, skeletonized and transformed to a rooted
acyclic graph. This graph is used to label the airways. Then a modified version of the previously validated integral
based method (IBM) for airway geometry determination is utilized. The rooted graph, the airway lumen and
wall information are then used to calculate the airway taper indices. Using a computer-generated phantom
simulating 10 cross sections of airways we present results showing a high accuracy of the modified IBM. The
new taper index calculation method was applied to 144 volumetric inspiratory low-dose MDCT scans. The scans
were acquired from 36 children with mild CF at 4 time-points (baseline, 3 month, 1 year, 2 years). We found
a moderate correlation with the visual lobar Brody bronchiectasis scores by three raters (r2 = 0.36, p < .0001).
The taper index has the potential to be a precise imaging biomarker but further improvements are needed. In
combination with other imaging biomarkers, taper index calculation can be an important tool for monitoring
the progression and the individual treatment of patients with bronchiectasis.
Oliver Weinheimer, Mark O. Wielpütz, Philip Konietzke, Claus P. Heussel, Hans-Ulrich Kauczor, Christoph Brochhausen, David Hollemann, Dasha Savage, Craig J. Galbán, and Terry E. Robinson, "Fully automated lobe-based airway taper index calculation in a low dose MDCT CF study over 4 time-points," Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101330U (Presented at SPIE Medical Imaging: February 13, 2017; Published: 24 February 2017); https://doi.org/10.1117/12.2254387.
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