Human airway material characterization via inverse finite element analysis and neural network surrogate
Arif Badrou, Crystal A. Mariano, Talyah M. Nelson, Mona Eskandari · 2026
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Description
Arif Badrou, Crystal A. Mariano, Talyah M. Nelson, and Mona Eskandari published a 2026 biomechanics study measuring how human airway tissue stretches. Blocked central airways, often from lung cancer, are held open with stents, yet poor knowledge of airway stiffness causes mismatches that irritate tissue or let stents migrate. The team stretched samples of trachea and both bronchi in two directions to capture their directional behavior.
Those measurements calibrated a standard tissue model through inverse finite element analysis, a process that works backward from observed deformation to material constants. A neural network stand-in then reproduced the calibration, cutting computation from weeks to minutes. The authors share the tissue values, the framework, and a MATLAB application so stent designers can plan around real airway mechanics.
Catalog record
| CREATOR | Arif Badrou, Crystal A. Mariano, Talyah M. Nelson, Mona Eskandari |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 90 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |