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Author: search.filters.author.Hemtiwakorn, KhaisangSubject: search.filters.subject.CFD

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    Computational Fluid Dynamic (CFD) in Thai patient with Obstructive Sleep Apnea Syndrome (OSAS) - A case report: Comparative study between healthy and OSA subject
    (2012-12-01)
    Sarasaen, Chompunuch
    ;
    Bhongmakapat, Thongchai
    ;
    Hemtiwakorn, Khaisang
    ;
    Laothamatas, Jiraporn
    ;
    Pintavirooj, Chuchart
    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. ©2012 IEEE.
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    Combined medical imaging with CFD analysis for application of diagnostic and treatment planning: The case study of human nasal airflow simulation based on CT imaging
    (2009-01-01)
    Hemtiwakorn, Khaisang
    ;
    Phoocharoen, Niwat
    ;
    Tungjitkusolmun, Supan
    ;
    Mahasittiwat, Visan
    ;
    Sangworasil, Manas
    The previous methods of human airflow measurement such as rhinomanometry or acoustic rhinometry could not visualize the airflow and calculated the velocity magnitude in specific region of nasal cavity. Thus, this study proposes the combination of CT and CFD analysis of nasal airflow simulation in normal human breathing. This method can demonstrate the airflow direction, and also calculate the velocity magnitude inside the nasal cavity. The processes of this study are segmentation, meshing, solving, and post-processing. Firstly, Mimic 10.01 software was used to segment the nasal cavity. Secondly, Pro-STAR/amm software was used to generate trimmed mesh of 338, 496 elements. Finally, computational grid model was imported to STAR-CD version 3.26 for numerical computation, and visualize the solution by post-processing. The result shows that velocity magnitude of airflow is greatest in nasal valve area which is the narrowest area of the human nose. Also, the flow commonly pass through the main nasal passage and middle meatus areas of nose. Experimental validation will be reported in the further publication. In conclusion, this study is the important begining of an applied CFD analysis with medical imaging. CT imaging combines with CFD analysis could be useful for rhinologist as a nose function evaluation technique. Moreover, the applications of this method could be utilized in a wide range of research topics, especially development of diagnostic and treatment planning techniques.