In silico modeling for personalized stenting in aortic coarctation-Reference-Cited by-同舟云学术

In silico modeling for personalized stenting in aortic coarctation

Published:2022-10-10 Issue:1 Volume:16 Page:2056-2073
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Ma Dandan¹²,Wang Yong²³^ORCID,Azhar Mueed¹²,Adler Ansgar⁴,Steinmetz Michael²⁵,Uecker Martin¹²⁴⁶⁷^ORCID

Affiliation:

1. Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany

2. DZHK (German Center for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany

3. Laboratory for Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

4. Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria

5. Department of Pediatric Cardiology and Intensive Care Medicine, University Medical Center Göttingen, Göttingen, Germany

6. Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), University of Göttingen, Göttingen, Germany

7. BioTechMed-Graz, Graz, Austria

Funder

DZHK

China scholarship council

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2022.2127912

Reference59 articles.

1. Drug delivery and adhesion of magnetic nanoparticles coated nanoliposomes and microbubbles to atherosclerotic plaques under magnetic and ultrasound fields

2. Management of Coarctation of The Aorta in Adult Patients: State of The Art

3. Fully automatic segmentation of heart chambers in cardiac MRI using deep learning

4. The lattice Boltzmann equation: theory and applications

5. Virtual stenting of intracranial aneurysms: A pilot study for the prediction of treatment success based on hemodynamic simulations

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive study on simulation, performance evaluation and optimization strategies for blood pumps;Engineering Applications of Computational Fluid Mechanics;2024-07-12

2. Optimization of nano-microparticle size and shape on wall-interaction: a human case study on an abdominal aortic aneurysm;Engineering Applications of Computational Fluid Mechanics;2023-07-18

3. Editorial: Modeling of cardiovascular systems;Frontiers in Physiology;2022-11-28