Francesca Saglimbeni
Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis.
Rel. Giuseppe Bruno Averta, João Pedrosa. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2026
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Abstract
Segmenting the lungs and analyzing the results is fundamental for identifying possible pathological changes. Pulmonary fibrosis is one of the most common conditions characterized by specific alterations in the lung structure, involving both the vasculature and the airways. The goal of this thesis is to analyze the airway tree, starting from its segmentation and continuing with the extraction of structural metrics. A primary focus is to quantify the variation of airway dimensions along their path from the carina and to map the branch distribution according to the Weibel generation model. Furthermore, the analysis incorporated parenchymal metrics that, according to the literature, are strongly correlated with fibrotic disease.
The proposed pipeline is developed and tested on CT scans from the CARVE14 and OSIC datasets
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