Page 246 - Artificial Intelligence for Computational Modeling of the Heart

Bibliography 219

with applications to arterial blood flow, support show hemodynamic alterations in the
Computational Mechanics 38 (4–5) (2006) ascending aorta, Journal of Thoracic and
310–322. Cardiovascular Surgery 147 (4) (2014) 1326–1333.
173. C.A. Figueroa, I.E. Vignon-Clementel, K.E. Jansen, 183. R. Mittal, J.H. Seo, V. Vedula, Y.J. Choi, H. Liu, H.H.
T.J. Hughes, C.A. Taylor, A coupled momentum Huang, S. Jain, L. Younes, T. Abraham, R.T. George,
method for modeling blood flow in Computational modeling of cardiac
three-dimensional deformable arteries, Computer hemodynamics: current status and future outlook,
Methods in Applied Mechanics and Engineering Journal of Computational Physics 305 (2016)
195 (41–43) (2006) 5685–5706. 1065–1082.
174. P.Crosetto, P.Reymond,S.Deparis,D.Kontaxakis, 184. P.J. Kilner, G.-Z. Yang, A.J. Wilkes, R.H. Mohiaddin,
N. Stergiopulos, A. Quarteroni, Fluid–structure D.N. Firmin, M.H. Yacoub, Asymmetric redirection
interaction simulation of aortic blood flow, of flow through the heart, Nature 404 (6779) (2000)
Computers & Fluids 43 (1) (2011) 46–57. 759.
175. Dongbin Xiu, Didier Lucor, C.-H. Su, George Em 185. N.Stergiopulos, J.-J.Meister,N.Westerhof,Simple
Karniadakis, Stochastic modeling of flow-structure and accurate way for estimating total and
interactions using generalized polynomial chaos, segmental arterial compliance: the pulse pressure
Journal of Fluids Engineering 124 (1) (2001) 51–59. method, Annals of Biomedical Engineering 22 (4)
176. Viorel Mihalef, Dimitris Metaxas, Mark Sussman, (1994) 392–397.
Vassilios Hurmusiadis, Leon Axel, Atrioventricular 186. P. Segers, E. Rietzschel, M. De Buyzere, N.
blood flow simulation based on patient-specific Stergiopulos, N. Westerhof, L. Van Bortel, T.
data, in: International Conference on Functional Gillebert, P. Verdonck, Three-and four-element
Imaging and Modeling of the Heart, Springer, windkessel models: assessment of their fitting
2009, pp. 386–395. performance in a large cohort of healthy
177. D.A. Steinman, C.A. Taylor, Flow imaging and middle-aged individuals, Proceedings of the
computing: large artery hemodynamics, Annals of Institution of Mechanical Engineers. Part H,
Biomedical Engineering 33 (12) (2005) 1704–1709. Journal of Engineering in Medicine 222 (4) (2008)
178. J.M. Sohns, J.T. Kowallick, A.A. Joseph, K.D. 417–428.
Merboldt, D. Voit, M. Fasshauer, W. Staab, J. 187. M.J. Powell, The BOBYQA Algorithm for Bound
Frahm, J. Lotz, C. Unterberg-Buchwald, Peak flow Constrained Optimization Without Derivatives,
velocities in the ascending aorta—real-time Cambridge NA Report NA2009/06, 2009.
phase-contrast magnetic resonance imaging vs 188. K.C. Wong, M. Sermesant, K. Rhode, M. Ginks, C.A.
cine magnetic resonance imaging and Rinaldi, R. Razavi, H. Delingette, N. Ayache,
echocardiography, Quantitative Imaging in Velocity-based cardiac contractility
Medicine and Surgery 5 (5) (2015) 685. personalization from images using derivative-free
179. J. Ryval, A. Straatman, D. Steinman, Two-equation optimization, Journal of the Mechanical Behavior
turbulence modeling of pulsatile flow in a of Biomedical Materials 43 (2015) 35–52.
stenosed tube, Journal of Biomechanical 189. L. Le Folgoc, H. Delingette, A. Criminisi, N.
Engineering 126 (5) (2004) 625–635. Ayache, Current-based 4d shape analysis for the
180. F. Hellmeier, S. Nordmeyer, P. Yevtushenko, J. mechanical personalization of heart models, in:
Bruening, F. Berger, T. Kuehne, L. Goubergrits, M. International MICCAI Workshop on Medical
Kelm, Hemodynamic evaluation of a biological Computer Vision, Springer, 2012, pp. 283–292.
and mechanical aortic valve prosthesis using 190. H. Gao, W. Li, L. Cai, C. Berry, X. Luo, Parameter
patient-specific mri-based cfd, Artificial Organs estimation in a Holzapfel–Ogden law for healthy
42 (1) (2018) 49–57. myocardium, Journal of Engineering Mathematics
181. L. Ge, H.-L. Leo, F. Sotiropoulos, A.P. Yoganathan, 95 (1) (2015) 231–248.
Flow in a mechanical bileaflet heart valve at 191. M. Hadjicharalambous, L. Asner, R. Chabiniok, E.
laminar and near-peak systole flow rates: Cfd Sammut,J.Wong, D. Peressutti,E.Kerfoot,A.King,
simulations and experiments, Journal of J. Lee, R. Razavi, et al., Non-invasive model-based
Biomechanical Engineering 127 (5) (2005) assessment of passive left-ventricular myocardial
782–797. stiffness in healthy subjects and in patients with
182. C. Karmonik, S. Partovi, M. Loebe, B. Schmack, A. non-ischemic dilated cardiomyopathy, Annals of
Weymann, A.B. Lumsden, M. Karck, A. Ruhparwar, Biomedical Engineering 45 (3) (2017) 605–618.
Computational fluid dynamics in patients with 192. J.Xi, P. Lamata,S.Niederer, S. Land,W.Shi,X.
continuous-flow left ventricular assist device Zhuang, S. Ourselin, S.G. Duckett, A.K. Shetty, C.A.