TY - GEN
T1 - Multiscale study on hemodynamics in patient-specific thoracic aortic coarctation
AU - Zhao, Xi
AU - Liu, Youjun
AU - Ding, Jinli
AU - Zhang, Mingzi
AU - Fu, Wenyu
AU - Bai, Fan
AU - Ren, Xiaochen
AU - Qiao, Aike
PY - 2014
Y1 - 2014
N2 - In this challenge, we intended to mimic the patient's cardiovascular system by using 0D-3D connected multiscale model. The purpose of the multiscale analysis is to find out the appropriate boundary conditions of the innominate artery (IA), left common carotid artery (LCA) and left subclavian artery (LSA) in the local 3D computational fluid dynamics simulation. Firstly, a lumped parameter model(LPM) of the patient's circulatory system was established which could mimic both the rest and stress conditions by adjusting parameters like elastance function of the heart and the peripheral resistance, since that administering is oprenaline leads to the patient's heart beat rate and peripheral resistance changes. Secondly, the values of parameters in the LPM were slightly revised to match the following conditions: 1. provided pressure and flow rate curves, 2. provided blood distribution ratio of the AcsAo, IA, LCA and LSA. Finally, we got the outlet conditions of the IA, LCA and LSA, and then connecting the 0D model and the 3D model at each time step. As the results, we got the streamlines, pressure drop through the coarctation, pressure gradient, and some other parameters by coupled multiscale simuation.
AB - In this challenge, we intended to mimic the patient's cardiovascular system by using 0D-3D connected multiscale model. The purpose of the multiscale analysis is to find out the appropriate boundary conditions of the innominate artery (IA), left common carotid artery (LCA) and left subclavian artery (LSA) in the local 3D computational fluid dynamics simulation. Firstly, a lumped parameter model(LPM) of the patient's circulatory system was established which could mimic both the rest and stress conditions by adjusting parameters like elastance function of the heart and the peripheral resistance, since that administering is oprenaline leads to the patient's heart beat rate and peripheral resistance changes. Secondly, the values of parameters in the LPM were slightly revised to match the following conditions: 1. provided pressure and flow rate curves, 2. provided blood distribution ratio of the AcsAo, IA, LCA and LSA. Finally, we got the outlet conditions of the IA, LCA and LSA, and then connecting the 0D model and the 3D model at each time step. As the results, we got the streamlines, pressure drop through the coarctation, pressure gradient, and some other parameters by coupled multiscale simuation.
KW - Computational fluid dynamics
KW - Hemodynamics
KW - Multiscale simulation
KW - Pressure gradient
KW - Thoracic aortic coarctation
UR - http://www.scopus.com/inward/record.url?scp=84898913540&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-54268-8_7
DO - 10.1007/978-3-642-54268-8_7
M3 - Conference proceeding contribution
AN - SCOPUS:84898913540
SN - 9783642542671
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 57
EP - 64
BT - Statistical Atlases and Computational Models of the Heart
A2 - Camara, Oscar
A2 - Mansi, Tommaso
A2 - Pop, Mihaela
A2 - Rhode, Kawal
A2 - Sermesant, Maxime
A2 - Young, Alistair
PB - Springer, Springer Nature
CY - Berlin
T2 - 4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013
Y2 - 26 September 2013 through 26 September 2013
ER -