Publications by authors named "Milad Habibi"
Article Synopsis
- - Cognitional heart disease is a major cause of infant mortality, and tissue-engineered vascular grafts present a promising approach for personalized treatment, but current design methods often lack individuality or require manual input.
- - This paper introduces a computational framework that automatically optimizes the shape of patient-specific vascular grafts using techniques like Bayesian optimization and a unique graft deformation algorithm, minimizing the need for human intervention.
- - Evaluation of the method using data from six patients demonstrated improved graft performance in terms of reduced pressure drop and wall shear stress, while also assessing how designs perform under steady versus transient conditions.
High-fidelity patient-specific modeling of cardiovascular flows and hemodynamics is challenging. Direct blood flow measurement inside the body with in-vivo measurement modalities such as 4D flow magnetic resonance imaging (4D flow MRI) suffer from low resolution and acquisition noise. In-vitro experimental modeling and patient-specific computational fluid dynamics (CFD) models are subject to uncertainty in patient-specific boundary conditions and model parameters.
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