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DOI 10.1080/10255842.2013.776548

Медицинская библиотека · Computer methods in biomechanics and biomedical engineering · 2013

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

Johari Nasrul Hadi, Osman Kahar, Helmi Nor Harris N, Abdul Kadir Mohammed A Rafiq

Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Johari Nasrul Hadi, Osman Kahar, Helmi Nor Harris N, Abdul Kadir Mohammed A Rafiq. Comparative analysis of realistic CT-scan and simplified human airway models in airflow simulation.. Computer methods in biomechanics and biomedical engineering. 2013. DOI: 10.1080/10255842.2013.776548.

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