Authors:

Kara Rochelle McCrindle

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About Paper:

A significant challenge for clinicians dealing with unruptured intracranial aneurysms is assessing the risk of rupture against the risk of operation. Many factors can influence aneurysm formation, growth, and rupture, but accurate risk assessment is complex, with specific mechanisms still unknown. Hence, there is a need for in vitro cerebral aneurysm phantoms that mimic patient-specific geometry and conditions. Small sample sizes and a lack of diverse and comprehensive measurements have limited previous studies on aneurysm hemodynamics. Our research aims to fabricate box models for seven internal carotid artery (ICA) aneurysms at two time points to address these limitations. The dataset includes four stable aneurysms and three growing aneurysms. The fourteen models are created by 3D printing patient-specific geometries using acrylonitrile butadiene styrene (ABS) filament, constructing acrylic boxes, and casting vascular replicas with polydimethylsiloxane (PDMS). Particle image velocimetry (PIV) and 4D flow magnetic resonance imaging (MRI) are used to obtain flow data to analyze the wall shear stress (WSS) in both stable and growing aneurysms. Once the flow profiles are obtained for all models, linear regression and student t-test will be used to assess significant differences both temporal and across groups. This data can help study the mechanisms of aneurysm growth and improve clinical rupture risk evaluations. Additionally, the dataset can aid MRI data harmonization and PIV/MRI velocity reconstruction for future aneurysm research. Keywords: Cerebral Aneurysm; Patient-Specific Modeling; Particle Image Velocimetry; 4D Magnetic Resonance Imaging; Hemodynamics

Source:

Purdue University / 2024

Topics:

No topics listed

Co-authors:

Kara Rochelle McCrindle