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Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom.
Kang, Jihun; Ha, Hojin.
Afiliación
  • Kang J; Interdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University.
  • Ha H; Interdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University; hojinha@kangwon.ac.kr.
J Vis Exp ; (180)2022 02 25.
Article en En | MEDLINE | ID: mdl-35285828
ABSTRACT
Aortic valve dysfunction and stroke have recently been reported in transcatheter aortic valve implantation (TAVI) patients. Thrombus in the aortic sinus and neo-sinus due to hemodynamic changes has been suspected. In vitro experiments help investigate the hemodynamic characteristics in the cases where an in vivo assessment proves to be limited. In vitro experiments are also more robust, and the variable parameters are controlled readily. Particle image velocimetry (PIV) is a popular velocimetry method for in vitro studies. It provides a high-resolution velocity field such that even small-scale flow features are observed. The purpose of this study is to show how PIV is used to investigate the flow field in the aortic sinus after TAVI. The in vitro setup of the aortic phantom, TAVI for PIV, and the data acquisition process and post-processing flow analysis are described. The hemodynamic parameters are derived, including the velocity, flow stasis, vortex, vorticity, and particle residence. The results confirm that in vitro experiments and PIV help investigate the hemodynamic features in the aortic sinus.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Prótesis Valvulares Cardíacas / Reemplazo de la Válvula Aórtica Transcatéter Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Vis Exp Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Prótesis Valvulares Cardíacas / Reemplazo de la Válvula Aórtica Transcatéter Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Vis Exp Año: 2022 Tipo del documento: Article