CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation.
Christopher J ArthursRostislav KhlebnikovAlex MelvilleMarija MarčanAlberto GomezDesmond Dillon-MurphyFederica CuomoMiguel Silva VieiraJonas SchollenbergerSabrina R LynchChristopher Tossas-BetancourtKritika IyerSara HopperElizabeth LivingstonPouya YoussefiAlia NooraniSabrina Ben AhmedFoeke J H NautaTheodorus M J van BakelYunus AhmedPetrus A J van BakelJonathan P MynardPaolo Di AchilleHamid GharahiKevin D LauVasilina FilonovaMiquel AguirreNitesh NamaNan XiaoSeungik BaekKrishna GarikipatiOnkar SahniDavid NordslettenCarlos Alberto FigueroaPublished in: PLoS computational biology (2021)
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.
Keyphrases
- blood flow
- healthcare
- mental health
- deep learning
- finite element
- data analysis
- electronic health record
- virtual reality
- palliative care
- molecular dynamics
- high resolution
- fluorescent probe
- machine learning
- optical coherence tomography
- high intensity
- big data
- case control
- convolutional neural network
- living cells
- artificial intelligence