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Updated: Jul 10, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Airway segmentation and measurement in CT images
Irene Cheng1, Sharmin Nilufar, Carlos Flores-Mir
1NSERC Research Fellow, Computer and Information Sciences Department, University of Pennsylvania, PA, USA. chenglin@seas.upenn.edu
Abstract:
In this paper we describe a methodology for constructing the airways from Cone Beam CT data and representing changes before and after a medical procedure. A seed region is automatically detected for the first CT slice using a heuristic algorithm incorporating morphological filtering. Our approach then extracts relevant contours on 3D slices by using gradient vector flow (GVF) snakes, modified by an edge detection and snake-shifting step. Following this, a 3D model is constructed. We then estimate the volume of the airway based on segmented 3D shape.

