Computational fluid dynamic simulations informed by CT and 4D flow MRI for post-surgery aortic dissection – A case study-Reference-Cited by-同舟云学术

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Computational fluid dynamic simulations informed by CT and 4D flow MRI for post-surgery aortic dissection – A case study

Published:2022-08 Issue: Volume:96 Page:108986
ISSN:0142-727X
Container-title:International Journal of Heat and Fluid Flow
language:en
Short-container-title:International Journal of Heat and Fluid Flow

Author:

Wang Qingdi,Guo Xiaojing,Stäb Daniel,Jin Ning,Poon Eric K.W.,Lim Ruth P.,Ooi Andrew

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference52 articles.

1. Prediction of thrombus formation using vortical structures presentation in Stanford type B aortic dissection: a preliminary study using CFD approach;Naim;Appl. Math. Model.,2016

2. Alimohammadi, M., Sherwood, J.M., Karimpour, M., Agu, O., Balabani, S., Díaz-Zuccarini, V.J.B.e.o., 2015. Aortic dissection simulation models for clinical support: fluid-structure interaction vs. rigid wall models. 14, 1-16.

3. Awad, H., Ramadan, M.E., El Sayed, H.F., Tolpin, D.A., Tili, E., Collard, C.D.J.C.J.o.A.J.c.d.a., 2017. Spinal cord injury after thoracic endovascular aortic aneurysm repair. 64, 1218-1235.

4. Bäumler, K., Vedula, V., Sailer, A.M., Seo, J., Chiu, P., Mistelbauer, G., Chan, F.P., Fischbein, M.P., Marsden, A.L., Fleischmann, D.J.B., mechanobiology, m.i., 2020. Fluid–structure interaction simulations of patient-specific aortic dissection. 19, 1607-1628.

5. Berretta, P., Trimarchi, S., Patel, H.J., Gleason, T.G., Eagle, K.A., Di Eusanio, M.J.J.o.v.s., 2018. Malperfusion syndromes in type A aortic dissection: what we have learned from IRAD. 4.

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