A Personalized Spring Network Representation of Emphysematous Lungs From CT Images.

ABSTRACT: Emphysema is a progressive disease characterized by irreversible tissue destruction and airspace enlargement, which manifest as low attenuation area (LAA) on CT images. Previous studies have shown that inflammation, protease imbalance, extracellular matrix remodeling and mechanical forces collectively influence the progression of emphysema. Elastic spring network models incorporating force-based mechanical failure have been applied to investigate the pathogenesis and progression of emphysema. However, these models were general without considering the patient-specific information on lung structure available in CT images. The aim of this work was to develop a novel approach that provides an optimal spring network representation of emphysematous lungs based on the apparent density in CT image

SUBMITTER: Yuan Z 

PROVIDER: S-EPMC10013051 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature