Airflow modeling of steady inspiration in two realistic proximal airway trees reconstructed from human thoracic tomodensitometric images.

Details

Serval ID
serval:BIB_3F42848A6E11
Type
Article: article from journal or magazin.
Collection
Publications
Title
Airflow modeling of steady inspiration in two realistic proximal airway trees reconstructed from human thoracic tomodensitometric images.
Journal
Computer Methods in Biomechanics and Biomedical Engineering
Author(s)
Vial L., Perchet D., Fodil R., Caillibotte G., Fetita C., Prêteux F., Beigelman-Aubry C., Grenier P., Thiriet M., Isabey D., Sbirlea-Apiou G.
ISSN
1025-5842 (Print)
ISSN-L
1025-5842
Publication state
Published
Issued date
2005
Volume
8
Number
4
Pages
267-277
Language
english
Abstract
Detailed description of the flow field in human airways is highly important to better understand human breathing and provide a patient's customized diagnosis. An integrated numerical simulation platform is presently proposed in order to incorporate medical images into a numerical software to calculate flow field and to analyze it in terms of fluid dynamics. The platform was set up to compute steady inspiratory airflow in realistic human airways reconstructed from tomodensitometric medical images at resting breathing conditions. This morpho-functional simulation platform has been tested retrospectively with two CT-scanned patient airway morphological models: (i) a normal airway model (subject A) with no evidence of morphological alteration and (ii) a highly altered airway model (subject B) exhibiting a severe stenosis in the right main bronchus. First, various morphological aspects proper to each airway model are provided to show the performance and interest of the reconstruction method. Second, we describe the three-dimensional flow patterns associated to the global morphological features, which are mainly shared by the present realistic models and previous idealistic airway models. Finally, the flow characteristics associated to local morphological features specific to realistic airway models are discussed. The results demonstrate that the morpho-functional simulation platform is able to capture the main features of airway velocity patterns but also more specific airflow patterns which are related to customized patient morphological features such as laminar vortex formation. The present results suggest that the proposed airway functional imaging platform is adequate to provide most of functional information related to airflow and enable a patient to patient diagnosis.
Keywords
Biomechanics, Computer Simulation, Humans, Image Processing, Computer-Assisted, Models, Anatomic, Models, Biological, Radiographic Image Interpretation, Computer-Assisted, Respiratory Mechanics, Respiratory System/anatomy &amp, histology, Respiratory System/radiography, Tomography, X-Ray Computed
Pubmed
Create date
31/08/2011 12:46
Last modification date
20/08/2019 13:36
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