Abstract Understanding the complex interplay between morphologic and hemodynamic features in aortic dissection is critical for risk stratification and for the development of individualized therapy. This work evaluates the effects of entry and exit tear size on the hemodynamics in type B aortic dissection by comparing fluid–structure interaction (FSI) simulations with in vitro 4D-flow magnetic resonance imaging (MRI). A baseline patient-specific 3D-printed model and two variants with modified tear size (smaller entry tear, smaller exit tear) were embedded into a flow- and pressure-controlled setup to perform MRI as well as 12-point catheter-based pressure measurements. The same models defined the wall and fluid domains for FSI simulations, f...
Most computational hemodynamic studies of aortic dissections rely on idealized or general boundary c...
Background:Four-dimensional flow magnetic resonance imaging (4D flow MRI) can accurately visualize a...
Aortic dissection is a life-threatening process in which the weakened wall develops a tear, causing ...
AbstractObjectivesOutcome prediction in DeBakey Type III aortic dissections (ADs) remains challengin...
ObjectiveManagement and follow-up of chronic aortic dissections continue to be a clinical challenge ...
In order for computational fluid dynamics to provide quantitative parameters to aid in the clinical ...
ObjectiveType B aortic dissection can be acutely complicated by rapid expansion, rupture, and malper...
Objective: The interactions between aortic morphology and hemodynamics play a key role in determinin...
Introduction: Predicting aortic growth in acute type B dissection is fundamental in planning interve...
It is believed that the progression of Stanford type B aortic dissection is closely associated with ...
Quantitative assessment of the complex hemodynamic environment in type B aortic dissection (TBAD) th...
It is believed that the progression of Stanford type B aortic dissection is closely associated with ...
Most computational hemodynamic studies of aortic dissections rely on idealized or general boundary c...
Aortic dissection, characterized by separation of the layers of the aortic wall, poses a significant...
Most computational hemodynamic studies of aortic dissections rely on idealized or general boundary c...
Background:Four-dimensional flow magnetic resonance imaging (4D flow MRI) can accurately visualize a...
Aortic dissection is a life-threatening process in which the weakened wall develops a tear, causing ...
AbstractObjectivesOutcome prediction in DeBakey Type III aortic dissections (ADs) remains challengin...
ObjectiveManagement and follow-up of chronic aortic dissections continue to be a clinical challenge ...
In order for computational fluid dynamics to provide quantitative parameters to aid in the clinical ...
ObjectiveType B aortic dissection can be acutely complicated by rapid expansion, rupture, and malper...
Objective: The interactions between aortic morphology and hemodynamics play a key role in determinin...
Introduction: Predicting aortic growth in acute type B dissection is fundamental in planning interve...
It is believed that the progression of Stanford type B aortic dissection is closely associated with ...
Quantitative assessment of the complex hemodynamic environment in type B aortic dissection (TBAD) th...
It is believed that the progression of Stanford type B aortic dissection is closely associated with ...
Most computational hemodynamic studies of aortic dissections rely on idealized or general boundary c...
Aortic dissection, characterized by separation of the layers of the aortic wall, poses a significant...
Most computational hemodynamic studies of aortic dissections rely on idealized or general boundary c...
Background:Four-dimensional flow magnetic resonance imaging (4D flow MRI) can accurately visualize a...
Aortic dissection is a life-threatening process in which the weakened wall develops a tear, causing ...