AVATREE

AVATREE generates anatomically valid airway tree conformations from patient-specific CT-derived 3D geometries to model broncho-constriction and support analyses of airflow, gas mixing, ventilation distribution, and particle deposition in obstructive pulmonary disease.

Key Features:

• Patient-specific airway generation: Constructs airway tree models from personalized 3D geometries derived from CT data.
• Broncho-constriction simulation: Models broncho-constriction phenomena relevant to obstructive pulmonary diseases such as COPD and asthma.
• Extension beyond visible generations: Extends airway models past CT-visible generations using a knowledge-based approach informed by morphometric data.
• Spatial probability maps: Produces spatial probability maps for airway generations projected onto CT imaging data.
• Local structure-based visualization: Represents and analyzes local airway structural properties within the anatomical context of CT scans.
• Implementation language: Implemented in C++ for computational model execution.

Scientific Applications:

• Gas flow analysis: Investigates airflow behavior within reconstructed bronchial trees under varying conditions.
• Gas mixing studies: Examines mixing patterns of gases within airway geometries.
• Ventilation pattern exploration: Analyzes regional ventilation distribution across airway generations.
• Particle deposition research: Studies particle transport and deposition relevant to inhaled drug delivery and environmental exposure.
• Obstructive disease modeling: Supports structural-level investigation of COPD and asthma via broncho-constriction simulations.

Methodology:

Integrates personalized 3D airway geometries obtained from CT via image segmentation, projects spatial probability maps onto CT, and extends airway generations using a knowledge-based approach informed by morphometric studies; the framework is implemented in C++.