DocumentCode :
3380577
Title :
Computational Fluid Dynamic (CFD) in Thai patient with Obstructive Sleep Apnea Syndrome (OSAS) A case report: Comparative study between healthy and OSA subject
Author :
Sarasaen, C. ; Bhongmakapat, T. ; Hemtiwakorn, K. ; Laothamatas, J. ; Pintavirooj, Chuchart
Author_Institution :
Dept. of Electron., King Mongkut´´s Inst. of Technol. Ladkrabang (KMITL), Bangkok, Thailand
fYear :
2012
fDate :
5-7 Dec. 2012
Firstpage :
1
Lastpage :
6
Abstract :
In order to investigate flow characteristics in upper airway, this study focuses on applied Computational Fluid Dynamics (CFD) with Obstructive Sleep Apnea Syndrome (OSAS) base on Computed Tomography images. OSAS has been remarked in the several decades because of its disturbance and severity that leading to a serious morbidity and excess mortality in long-term consequences such as heart attack and strokes. Although numerous methods have been advocated for treatment an OSA syndrome, no single procedure employed effectively. To investigate the airflow behavior, three-dimensional airway models during tidal breathing has been performed in a patient with obstructive sleep apnea and one control. Segmentation was carried out from CT data initially. Then, the volumetric surface was performed by reverse engineering process and mesh generation was operated after that. Computational modeling for inspiration was operated by employing k-ω SST turbulence model. For comparison the airflow characteristics, streamline, velocity, pressure, and wall shear stress either of models were illustrated. For patient associated with OSA, Particularly in oropharynx region, velocity significantly increase and negative pressure greater than the control one because of narrower airway. Furthermore, WSS manifestly rises up in stricture area. In brief, The CFD analysis could be employed to evaluate the airflow in OSA patients as an alternative technique for diagnosis and treatment planning.
Keywords :
biomechanics; computational fluid dynamics; computerised tomography; flow simulation; image segmentation; medical disorders; medical image processing; mesh generation; patient treatment; physiological models; pneumodynamics; reverse engineering; sleep; turbulence; 3D airway models; CT data segmentation; OSAS; airflow behavior; airflow characteristics; computational fluid dynamic; computational modeling; computed tomography images; excess mortality; flow streamline; flow velocity; heart attack; inspiration; k-w SST turbulence model; mesh generation; negative pressure; obstructive sleep apnea syndrome; oropharynx region; patient diagnosis; reverse engineering process; serious morbidity; stricture area; strokes; tidal breathing; treatment planning; volumetric surface; wall shear stress; Atmospheric modeling; Computational fluid dynamics; Computational modeling; Mathematical model; Sleep apnea; Solid modeling; Stress; CFD; airflow; obstructive sleep apnea; simulation; treatment planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering International Conference (BMEiCON), 2012
Conference_Location :
Ubon Ratchathani
Print_ISBN :
978-1-4673-4890-4
Type :
conf
DOI :
10.1109/BMEiCon.2012.6465491
Filename :
6465491
Link To Document :
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