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CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9401))

Abstract

In this paper, we introduce the new software environment CRIMSON: CardiovasculaR Integrated Modelling and SimulatiON. This software provides a number of tools for medical image data analysis, preprocessing, segmentation and blood flow simulation. In this paper we describe the work flow necessary to perform such tasks as well its implementation in CRIMSON based on multiple well-established open-source libraries, such as MITK and OpenCASCADE. We show that the software is easy to use for both experts and non-experts in the field of hemodynamic modelling. The intuitive and responsive interface of CRIMSON facilitates learning and speeds up the model building process by up to a factor of two compared to the existing tool being used for the same purpose. The overall goal of this work is to produce a feature-rich and intuitive open-source blood flow modelling framework that can be used both by engineers and medical personnel.

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Notes

  1. 1.

    https://simtk.org/home/simvascular.

  2. 2.

    http://www.mitk.org/BlueBerry; http://www.commontk.org.

  3. 3.

    http://www.opencascade.org.

  4. 4.

    http://simmetrix.com.

  5. 5.

    http://geuz.org/gmsh.

  6. 6.

    Additional information can be found at http://www.crimson.software.

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Acknowledgement

We gratefully acknowledge support from the ERC under the EUs 7th Framework Programme / ERC Grant Agreement n. 307532, and the UK Department of Health via the NIHR comprehensive Biomedical Research Centre award to Guys and St Thomas NHS Foundation Trust in partnership with KCL and Kings College Hospital NHS Foundation Trust.

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Correspondence to Rostislav Khlebnikov .

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© 2016 Springer International Publishing Switzerland

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Khlebnikov, R., Figueroa, C.A. (2016). CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment. In: Oyarzun Laura, C., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2015. Lecture Notes in Computer Science(), vol 9401. Springer, Cham. https://doi.org/10.1007/978-3-319-31808-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-31808-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31807-3

  • Online ISBN: 978-3-319-31808-0

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