CT and MRI of aortic coarctation: pre-and postsurgical findings

AD Karaosmanoglu, RDA Khawaja… - American Journal of …, 2015 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this article is to summarize the roles of CT and MRI in the
diagnosis and follow-up of patients with aortic coarctation. CONCLUSION. Aortic coarctation …

Computational fluid dynamics modeling of hemodynamic parameters in the human diseased aorta: A systematic review

CW Ong, I Wee, N Syn, S Ng, HL Leo… - Annals of Vascular …, 2020 - Elsevier
Background The analysis of the correlation between blood flow and aortic pathology through
computational fluid dynamics (CFD) shows promise in predicting disease progression, the …

Deep learning based centerline-aggregated aortic hemodynamics: an efficient alternative to numerical modeling of hemodynamics

P Yevtushenko, L Goubergrits… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Image-based patient-specific modelling of hemodynamics are gaining increased popularity
as a diagnosis and outcome prediction solution for a variety of cardiovascular diseases …

[HTML][HTML] Computational analysis of the coronary artery hemodynamics with different anatomical variations

MF Rabbi, FS Laboni, MT Arafat - Informatics in Medicine Unlocked, 2020 - Elsevier
Hemodynamic parameters have been identified as a significant determinant in the
development and progression of plaque, which leads to coronary artery disease (CAD). This …

Enhanced 4D flow MRI-based CFD with adaptive mesh refinement for flow dynamics assessment in coarctation of the aorta

L Shahid, J Rice, H Berhane, C Rigsby… - Annals of biomedical …, 2022 - Springer
Abstract 4D Flow MRI is a diagnostic tool that can visualize and quantify patient-specific
hemodynamics and help interventionalists optimize treatment strategies for repairing …

Computational modeling and engineering in pediatric and congenital heart disease

AL Marsden, JA Feinstein - Current opinion in pediatrics, 2015 - journals.lww.com
Computational modeling is emerging as a crucial tool for clinical decision-making and
evaluation of novel surgical methods and interventions in pediatric cardiology and beyond …

Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks

B Feiger, J Gounley, D Adler, JA Leopold… - Scientific reports, 2020 - nature.com
Comorbidities such as anemia or hypertension and physiological factors related to exertion
can influence a patient's hemodynamics and increase the severity of many cardiovascular …

Hemodynamic evaluation of a biological and mechanical aortic valve prosthesis using patient‐specific MRI‐based CFD

F Hellmeier, S Nordmeyer, P Yevtushenko… - Artificial …, 2018 - Wiley Online Library
Modeling different treatment options before a procedure is performed is a promising
approach for surgical decision making and patient care in heart valve disease. This study …

Impact of turbulence modeling on the simulation of blood flow in aortic coarctation

S Katz, A Caiazzo, B Moreau… - International Journal …, 2023 - Wiley Online Library
Numerical simulations of pulsatile blood flow in an aortic coarctation require the use of
turbulence modeling. This paper considers three models from the class of large eddy …

Advances in the Computational Assessment of Disturbed Coronary Flow and Wall Shear Stress: A Contemporary Review

AA Ekmejian, HJ Carpenter, JL Ciofani… - Journal of the …, 2024 - ahajournals.org
Coronary artery blood flow is influenced by various factors including vessel geometry,
hemodynamic conditions, timing in the cardiac cycle, and rheological conditions. Multiple …