Home Department: Biomedical Computation
Supported by: Bio-X
Mentor: Alison Marsden, Pediatrics and Bioengineering
Kawasaki disease is the leading cause of acquired heart disease during childhood in developed countries, with complications such as coronary artery aneurysms that present risk of heart attack and sudden death. While current determination of an individual’s risk looks mainly at aneurysm size, it may be more informative to look at blood flow through the aneurysm. Alex will address this hypothesis by generating patient-specific blood flow models with a patient’s imaging data that may then non-invasively guide clinical decisions. Simulation results will be compared with clinical outcome data.
Poster presented at the Stanford Bio-X Interdisciplinary Initiatives Symposium on August 24, 2017:
Patient-Specific Blood Flow Simulations of Kawasaki Disease for Thrombotic Risk Stratification
Alexander Lu1, Noelia G. Grande2, Alison L. Marsden3,4,5
[Departments of Mechanical Engineering2, Bioengineering3, Cardiology (Division of Pediatric Cardiology5), Institute for Computational & Mathematical Engineering4, and Biomedical Computation Program1, Stanford University]
