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PLoS Comput Biol ; 17(5): e1008881, 2021 05.
Article in English | MEDLINE | ID: mdl-33970900

ABSTRACT

In this work, we describe the CRIMSON (CardiovasculaR Integrated Modelling and SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly system for performing three-dimensional and reduced-order computational haemodynamics studies via a pipeline which involves: 1) segmenting vascular structures from medical images; 2) constructing analytic arterial and venous geometric models; 3) performing finite element mesh generation; 4) designing, and 5) applying boundary conditions; 6) running incompressible Navier-Stokes simulations of blood flow with fluid-structure interaction capabilities; and 7) post-processing and visualizing the results, including velocity, pressure and wall shear stress fields. A key aim of CRIMSON is to create a software environment that makes powerful computational haemodynamics tools accessible to a wide audience, including clinicians and students, both within our research laboratories and throughout the community. The overall philosophy is to leverage best-in-class open source standards for medical image processing, parallel flow computation, geometric solid modelling, data assimilation, and mesh generation. It is actively used by researchers in Europe, North and South America, Asia, and Australia. It has been applied to numerous clinical problems; we illustrate applications of CRIMSON to real-world problems using examples ranging from pre-operative surgical planning to medical device design optimization.


Subject(s)
Hemodynamics/physiology , Models, Cardiovascular , Software , Alagille Syndrome/physiopathology , Alagille Syndrome/surgery , Blood Vessels/anatomy & histology , Blood Vessels/diagnostic imaging , Blood Vessels/physiology , Computational Biology , Computer Simulation , Finite Element Analysis , Heart Disease Risk Factors , Humans , Imaging, Three-Dimensional , Liver Transplantation/adverse effects , Magnetic Resonance Imaging/statistics & numerical data , Models, Anatomic , Patient-Specific Modeling , Postoperative Complications/etiology , User-Computer Interface
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