Analysis identifying minimal governing parameters for clinically accurate in silico fractional flow reserve

BACKGROUND: Personalized hemodynamic models can accurately compute fractional flow reserve (FFR) from coronary angiograms and clinical measurements (FFR [Formula: see text]), but obtaining patient-specific data could be challenging and sometimes not feasible. Understanding which measurements need to...

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Detalles Bibliográficos
Autores principales: Tanade, Cyrus, Chen, S. James, Leopold, Jane A., Randles, Amanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medical Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764219/
https://www.ncbi.nlm.nih.gov/pubmed/36561284
http://dx.doi.org/10.3389/fmedt.2022.1034801

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9764219/
https://www.ncbi.nlm.nih.gov/pubmed/36561284
http://dx.doi.org/10.3389/fmedt.2022.1034801

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