Prediction of Atherosclerosis in Peripheral Arterial Disease Using Computational Fluid Dynamics Modelling
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6890-9_18
Reference30 articles.
1. Corti A, Chiastra C, Colombo M, Garbey M, Migliavacca F, Casarin S (2020) A fully coupled computational fluid dynamics—agent-based model of atherosclerotic plaque development: Multiscale modeling framework and parameter sensitivity analysis. Comput Biol Med 118(January):103623. https://doi.org/10.1016/j.compbiomed.2020.103623
2. Colombo M et al (2020) Computing patient-specific hemodynamics in stented femoral artery models obtained from computed tomography using a validated 3D reconstruction method. Med Eng Phys 75:23–35. https://doi.org/10.1016/j.medengphy.2019.10.005
3. Fowkes FGR, Aboyans V, Fowkes FJI, McDermott MM, Sampson UKA, Criqui MH (2017) Peripheral artery disease: epidemiology and global perspectives. Nat Rev Cardiol 14(3):156–170. https://doi.org/10.1038/nrcardio.2016.179
4. Morley RL, Sharma A, Horsch AD, Hinchliffe RJ (2018) Peripheral artery disease. BMJ 360(February):1–8. https://doi.org/10.1136/bmj.j5842
5. Gogineni A, Ravigururajan TS (2017) Flow dynamics and wall shear stresses in a bifurcated femoral artery. J Biomed Eng Med Devices 02(02). https://doi.org/10.4172/2475-7586.1000130
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