Universiti Teknologi Malaysia Institutional Repository

Comparative analysis of realistic CT-scan and simplified human airway models in airflow simulation

Johari, Nasrul Hadi and Osman, Kahar and Helmi, Nor Harris N. and Abdul Kadir, Mohammed A. Rafiq (2015) Comparative analysis of realistic CT-scan and simplified human airway models in airflow simulation. Computer Methods In Biomechanics And Biomedical Engineering, 18 (1). pp. 48-56. ISSN 1025-5842

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1080/10255842.2013.776548

Abstract

Efforts to model the human upper respiratory system have undergone many phases. Geometrical proximity to the realistic shape has been the subject of many research projects. In this study, three different geometries of the trachea and main bronchus were modelled, which were reconstructed from computed tomography (CT) scan images. The geometrical variations were named realistic, simplified and oversimplified. Realistic refers to the lifelike image taken from digital imaging and communications in medicine format CT scan images, simplified refers to the reconstructed image based on natural images without realistic details pertaining to the rough surfaces, and oversimplified describes the straight wall geometry of the airway. The characteristics of steady state flows with different flow rates were investigated, simulating three varied physical activities and passing through each model. The results agree with previous studies where simplified models are sufficient for providing comparable results for airflow in human airways. This work further suggests that, under most exercise conditions, the idealised oversimplified model is not favourable for simulating either airflow regimes or airflow with particle depositions. However, in terms of immediate analysis for the prediction of abnormalities of various dimensions of human airways, the oversimplified techniques may be used.

Item Type:Article
Uncontrolled Keywords:computational fluid dynamics, flow behaviour, realistic and simplified model
Subjects:Q Science > Q Science (General)
Divisions:Biosciences and Medical Engineering
ID Code:58093
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:04 Aug 2021 06:53

Repository Staff Only: item control page