The Creation and Statistical Evaluation of a Deterministic Model of the Human Bronchial Tree from HRCT Images.

ABSTRACT: A quantitative description of the morphology of lung structure is essential prior to any form of predictive modeling of ventilation or aerosol deposition implemented within the lung. The human lung is a very complex organ, with airway structures that span two orders of magnitude and having a multitude of interfaces between air, tissue and blood. As such, current medical imaging protocols cannot provide medical practitioners and researchers with in-vivo knowledge of deeper lung structures. In this work a detailed algorithm for the generation of an individualized 3D deterministic model of the conducting part of the human tracheo-bronchial tree is described. Distinct initial conditions were obtained from the high-resolution computed tomography (HRCT) images of seven healthy volunteers. The al

SUBMITTER: Montesantos S 

PROVIDER: S-EPMC5157997 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature