susannbeier.bsky.social
likes ocean swimming, research and coffee | #biomedical lab head @ https://www.unsw.edu.au/research/svmg | BBF Lennie 🐶👩🔬☕️🫀 Be kind #MedSky #CardioSky
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4. Patient-specific characteristics, such as bifurcation angle and plaque properties, are crucial for developing effective deployment strategies, and advancements in multi-objective optimization present opportunities for improving stent design and procedural practices.
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3. Procedural factors, including balloon positioning and rewiring techniques, as well as stent design features, significantly influence the success of percutaneous coronary interventions.
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2. The review highlights the use of computational and bench testing methods, such as finite element analysis and computational fluid dynamics, to evaluate various stenting strategies, including provisional side branch stenting and two-stenting techniques.
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1. Coronary bifurcation lesions pose complex challenges in interventional cardiology, requiring effective stenting techniques for optimal outcomes.
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4. The choice of exponent in the flow-split method (ranging from 2.0 to 3.0) did not significantly impact the haemodynamic results
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3. Resting conditions: flow-split and multiscale result in same haemodynamic metrics, hyperaemic conditions: the flow-split method overestimated wall shear stress and underestimated fractional flow reserve, particularly in severely stenosed arteries.
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2. Six patient-specific left coronary artery trees were analyzed, including three with severe stenosis (>70%) and three with mild stenosis (<50%), using both a 0D-3D coupled multiscale model and a flow-split approach with different exponents.
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1. The study compares a simplified flow-split strategy for characterizing coronary artery flow against a more complex multiscale approach, focusing on both resting and hyperaemic conditions in arteries with varying degrees of stenosis.
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4. The framework's flexibility is demonstrated through various examples, including constrained optimization problems and a unique parameterization scheme for single-helix stent designs, aiming to improve the adoption of optimization methods in concept design.
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3. The MCO framework is applicable to both unconstrained and constrained single-objective optimization problems and is designed to operate within a limited computing budget, enhancing its practicality for real-world applications.
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2. The framework incorporates four surrogate-assisted optimization algorithms, including two novel approaches (enhanced constrained expected improvement and Bradley–Terry-based probabilistic sorting), which are capable of handling analysis failures during performance assessment.
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1. The research introduces a multiconcept optimization (MCO) framework designed to optimize across multiple conceptual solutions in engineering design, addressing the limitations of existing optimization methods that use a fixed set of variables.
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Makes two of us wishing they were in Melbourne 😅
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Here we go 🙂 #checkingflighttickets
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Oh nooo, ok that’s it… it’s my mission now! I need to pick a game the swans may win too 😆
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Haha nice another AFL fan. I was hoping to catch a game at the famous MCG as I’m here but it will have to be next time 😊😎
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Thank you so much Andy! Your support means a lot 😃