Simulating platelet transport in Type-B aortic dissection

Louis P. Parker, Lachlan J. Kelsey, James Mallal, Roland Hustinx, Natzi Sakalihasan, Paul E. Norman, Barry Doyle

Research output: Chapter in Book/Conference paperChapterpeer-review

1 Citation (Scopus)


Abstract Aortic dissection is where the medial layer of the arterial wall is separated by a tear leading to intramural bleeding. The blood forms an alternate channel of flow known as the false lumen. Thrombosis of the false lumen (FL) is common in cases of dissection as flow conditions are typically more stagnant than in the true lumen (TL). Central to the process of thrombosis is the activation and aggregation of platelets in the blood. Therefore, the aim of this work is to simulate the transport of platelets in a case of Type-B aortic dissection in a clinically-relevant timeframe. We investigated a 38-year-old female with Type-B aortic dissection. After reconstructing the contrast-enhanced computed tomography (CT) scans into three dimensions, we created a computational mesh of polyhedral and prismelements. We used realistic boundary conditions at the inlet and at the outlets via 3-element Windkessel models. A one-way Lagrangian method was used to model the trajectories of platelets and particles were injected for 11 s over 16 cardiac cycles. The total number of injected particles was 1.5M. We ran our simulations on 512 cores of the MAGNUS supercomputer at the Pawsey Supercomputing Centre. We observed elevated residence times of these particles in regions of both stagnant (low TAWSS) and recirculating flow (high OSI), emphasising the need to consider both TAWSS and OSI in thrombus susceptibility predictions for dissection. Tear geometry was seen to have a dominating effect on TL haemodynamics, with platelets colliding and adhering to the wall primarily around the proximal entry tears and supra-aortic branching vessels. The complex flow patterns support the need for computational modelling to reveal flow conditions and prognosis for Type-B aortic dissection patients. Furthermore, high-performance computing enables computationally expensive patient- specific simulations to be carried out within a clinical timescale.

Original languageEnglish
Title of host publicationComputational Biomechanics for Medicine
Subtitle of host publicationMeasurements, Models, and Predictions
EditorsPoul M Nielsen, Adam Wittek, Karol Miller, Barry Doyle, Grand R. Joldes, Maryn P. Nash
Place of PublicationSwitzerland
PublisherSpringer International Publishing AG
Number of pages15
ISBN (Electronic)9783319755892
ISBN (Print)9783319755885
Publication statusPublished - 14 May 2018


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