PedIATrach : Pediatric trachea, from artificial intelligence-assisted airflow modeling to clinical management

Research Project

Funding Entity:

AMU Amidex

Budget (K€):

300

Status:

Ongoing

Our role:

Partner

Starting Date:

09/2023

Ending Date:

08/2027

Partners:

AMU/LIS UMR 7020, APHM, Marseille, IUSTI UMR 7343, INSTITUT UNIVERSITAIRE DES SYSTÈMES THERMIQUES INDUSTRIELS

Short Description

In neonates and infants, the decision to operate on laryngotracheal stenosis is based on its clinical tolerance. However, there are intermediate forms, where the decision of major surgery is complex. Computational Fluid Dynamics can be used to model airflow in the pediatric airway. An efficient use of CFD requires both modeling a reliable 3D reconstruction of pediatric airways and solving the equations that govern the flow. These steps are time-consuming and sometimes not reproducible. PedIATrach aims at integrating computer vision approaches for automating the 3D models reconstruction and optimizing the reconstruction time by selecting the appropriate DICOM images.