Acceleration and Geometric Uncertainty Quantification of PatientSpecific Cardiovascular

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Acceleration and Geometric Uncertainty Quantification of Patient-Specific Cardiovascular Modeling with Neural Networks Gabriel Maher

Acceleration and Geometric Uncertainty Quantification of Patient-Specific Cardiovascular Modeling with Neural Networks Gabriel Maher Marsden Labth ICME XPO May 28 2020

Cardiovascular Disease No. 1 Cause of Death Globally (WHO 2017) In 2016 31% of

Cardiovascular Disease No. 1 Cause of Death Globally (WHO 2017) In 2016 31% of global deaths due to CVD 85% due to heart attack and stroke (AHA 2011)

Patient-Specific Blood Flow Simulation CFD in cardiovascular geometry to simulate blood flow Boundary conditions

Patient-Specific Blood Flow Simulation CFD in cardiovascular geometry to simulate blood flow Boundary conditions and material properties set to model behavior of vessels and cardiovascular system Requires patient-specific cardiovascular geometry (Tran 18) (Lan 2018)

Sim. Vascular – Open Source Cardiovascular Simulation Open-source software tailored for full cardiovascular simulation

Sim. Vascular – Open Source Cardiovascular Simulation Open-source software tailored for full cardiovascular simulation workflow Image visualization Image processing Model construction Meshing CFD solvers FSI 4, 146 unique users 2, 762 github commits

Automated Cardiovascular Segmentation with Convolutional Neural Networks Automated segmentation within Sim. Vascular modeling workflow

Automated Cardiovascular Segmentation with Convolutional Neural Networks Automated segmentation within Sim. Vascular modeling workflow with convolutional neural networks Networks achieved accuracy comparable to Sim. Vascular experts

Cardiovascular Model Sampling with Dropout Networks CNN CNN Adding dropout layers enables the network

Cardiovascular Model Sampling with Dropout Networks CNN CNN Adding dropout layers enables the network to sample from the data distribution Combined with our modeling workflow this enables sampling of whole cardiovascular models Now we can quantify simulation uncertainty due to cardiovascular model uncertainty

Cardiovascular Model Uncertainty Quantification

Cardiovascular Model Uncertainty Quantification

Acknowledgements CBCL Sim. Vascular Kathrin Baumler Nathan Wilson Seraina Dual Adam Updegrove Alexander Kaiser

Acknowledgements CBCL Sim. Vascular Kathrin Baumler Nathan Wilson Seraina Dual Adam Updegrove Alexander Kaiser Dave Parker Owais Khan Fanwei Kong Stephanie Lindsey Martin Pfaller Ju Liu Martin Pfaller Collaborators Jongmin Seo Daniele Schiavazzi Vijay Vedula Funding Sources Suhaas Anbazhakan ICME Melody Dong NSF Casey Fleeter AHA Noelia Grande Guiterrez NIH Ingrid Lan Jonathan Pham Nicole Schiavone Erica Schwarz Zachary Aaron Sexton Aeekaansh Verma Alex Yang Lu